id stringlengths 7 11 | source stringclasses 1
value | category stringclasses 11
values | title stringlengths 15 214 | text stringlengths 70 30.5k | url stringlengths 57 160 | tags stringlengths 3 113 | created_at int64 1.22B 1.79B |
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se_79893806 | stackoverflow | MACHINE_LEARNING | Implemented PPO algorithm fails to train | Implemented PPO algorithm fails to train
I wrote a PPO-based reinforcement learning code for the Gymnasium CarRacing-v3 environment.
(The code was generated with the help of Gemini)
However, even after 200,000 frames, the training does not seem to improve.
Result:
Frame: 40000 | Mean Reward: 0.07 | Loss: 3.1248
Frame:... | https://stackoverflow.com/questions/79893806/implemented-ppo-algorithm-fails-to-train | python, machine-learning, pytorch, reinforcement-learning, gymnasium | 1,771,731,080 |
se_79894146 | stackoverflow | MACHINE_LEARNING | Please explain this vectorized Bellman's Equation | Please explain this vectorized Bellman's Equation
Can some please explain this vectorized Bellman equation to me in simple terms?
The Bellman equation usually has "summation symbol", "summation symbol", "summation symbol", "summation symbol" ... and is initially hard to understand. But this vectorized version / de... | https://stackoverflow.com/questions/79894146/please-explain-this-vectorized-bellmans-equation | machine-learning, linear-algebra, reinforcement-learning, q-learning, temporal-difference | 1,771,787,432 |
se_78310990 | stackoverflow | MACHINE_LEARNING | LightGBM with Multi-Output Regression and Custom Loss Function | LightGBM with Multi-Output Regression and Custom Loss Function
Can I use LightGBM with Multi-Output Regression and also a custom Loss Function?
Problem is I have to use LightGBM.
I know that i can use MultiOutputRegression by sklearn to wrap LightGBM but this doesnt allow me to define a custom loss function, as I coul... | https://stackoverflow.com/questions/78310990/lightgbm-with-multi-output-regression-and-custom-loss-function | python, machine-learning, regression, lightgbm | 1,712,844,926 |
se_56152691 | stackoverflow | MACHINE_LEARNING | Text classification method | Text classification method
I'm trying to classify sentences on a given topic using machine learning. However, I can't seem to find the adequate algorithm / solution for this particular problem.
Some details:
I have tokenized, lemmatized and vectorized the sentences. So, given a sentence:
How will the weather be today?... | https://stackoverflow.com/questions/56152691/text-classification-method | python, algorithm, machine-learning, text-classification, text-database | 1,557,933,377 |
se_62991016 | stackoverflow | MACHINE_LEARNING | Tensorflow keras model for solving simple equation | Tensorflow keras model for solving simple equation
I'm trying to understand how to create a simple tensorflow 2.2 keras model that can predict a simple function value:
f(a, b, c, d) = a < b : max(a/2, c/3) : max (b/2, d/3)
I know this exact question can be reduced to a categorical classification but my intention is t... | https://stackoverflow.com/questions/62991016/tensorflow-keras-model-for-solving-simple-equation | tensorflow, machine-learning, keras, deep-learning, neural-network | 1,595,231,943 |
se_56093535 | stackoverflow | MACHINE_LEARNING | What is the use case of this TensorFlow class: image.flip_up_down? | What is the use case of this TensorFlow class: image.flip_up_down?
What is the use case of this TensorFlow class: image.flip_up_down?
Why the image has to flip up and down? Whats the reason behind this? | https://stackoverflow.com/questions/56093535/what-is-the-use-case-of-this-tensorflow-class-image-flip-up-down | tensorflow, machine-learning, image-processing, image-conversion | 1,557,602,284 |
se_79891158 | stackoverflow | MACHINE_LEARNING | How to solve a checksum error with tfds.load | How to solve a checksum error with tfds.load
I'm trying to learn how to use Transformers with TensorFlow and I'm following this tutorial on the TensorFlow website:
https://www.tensorflow.org/text/tutorials/transformer
The problem I have is when I try the line:
tfds.load('ted_hrlr_translate/pt_to_en',with_info=True,as_... | https://stackoverflow.com/questions/79891158/how-to-solve-a-checksum-error-with-tfds-load | tensorflow, machine-learning, nlp, checksum | 1,771,359,789 |
se_79889546 | stackoverflow | MACHINE_LEARNING | Enabling GPU use to expedite training via AutoGluon | Enabling GPU use to expedite training via AutoGluon
I am training a series of ML models using AutoGluon's Mitra foundational model algorithms. When I set the fine_tune argument to True, the model keeps training with no end in sight. The model I am currently training has been training for almost a week. Conversely, whe... | https://stackoverflow.com/questions/79889546/enabling-gpu-use-to-expedite-training-via-autogluon | python, machine-learning, pycharm, automl, autogluon | 1,771,124,669 |
se_53358838 | stackoverflow | MACHINE_LEARNING | Predicting all zeros | Predicting all zeros
I've depeloped a neural network for classification and I'm getting a 0.93 of accuracy, the problem is that I'm predicting all zeros because the distribution of the data.
How can I fix it? Should I change from neural network to another algorithm?
Thanks in advance
Edit: i've just checked and m... | https://stackoverflow.com/questions/53358838/predicting-all-zeros | python, tensorflow, machine-learning, deep-learning | 1,542,526,957 |
se_75593856 | stackoverflow | MACHINE_LEARNING | Accounting for covariates (site effects) with mlr3 machine learning (pipelines) | Accounting for covariates (site effects) with mlr3 machine learning (pipelines)
I have gone through the entire mlr3 book but am unable to find a solution for how to address site effects in my data, as it comes from a multicenter study. I theoretically know about leave-site-out CV, but as the amount of participants com... | https://stackoverflow.com/questions/75593856/accounting-for-covariates-site-effects-with-mlr3-machine-learning-pipelines | machine-learning, data-preprocessing, mlr3 | 1,677,597,074 |
se_10136470 | stackoverflow | MACHINE_LEARNING | Unsupervised clustering with unknown number of clusters | Unsupervised clustering with unknown number of clusters
I have a large set of vectors in 3 dimensions. I need to cluster these based on Euclidean distance such that all the vectors in any particular cluster have a Euclidean distance between each other less than a threshold "T".
I do not know how many clusters exist. ... | https://stackoverflow.com/questions/10136470/unsupervised-clustering-with-unknown-number-of-clusters | algorithm, math, artificial-intelligence, machine-learning, cluster-analysis | 1,334,300,042 |
se_79885777 | stackoverflow | MACHINE_LEARNING | ODIR-5K: Should I train a Dual-Input CNN (Left/Right) or split images for Patient-Level Multi-Label Classification? | ODIR-5K: Should I train a Dual-Input CNN (Left/Right) or split images for Patient-Level Multi-Label Classification?
I am working with the ODIR-5K (Ocular Disease Intelligent Recognition) dataset. The goal is multi-label classification of 8 ocular diseases (Normal, Diabetes, Glaucoma, Cataract, etc.).
The Data Structur... | https://stackoverflow.com/questions/79885777/odir-5k-should-i-train-a-dual-input-cnn-left-right-or-split-images-for-patien | tensorflow, machine-learning, keras, computer-vision, conv-neural-network | 1,770,632,924 |
se_49600319 | stackoverflow | MACHINE_LEARNING | NLTK classifier for integer features? | NLTK classifier for integer features?
I have integer-type features in my feature vector that NLTK’s NaiveBayesClassifier is treating as nominal values.
Context
I am trying to build a language classifier using n-grams. For instance, the bigram “th” is more common in English than in French.
For each sentence in my train... | https://stackoverflow.com/questions/49600319/nltk-classifier-for-integer-features | python, machine-learning, nltk, text-classification, n-gram | 1,522,601,046 |
se_79880593 | stackoverflow | MACHINE_LEARNING | Decoder only character level transformer returns base64 text only. How do I clean my dataset while streaming? | Decoder only character level transformer returns base64 text only. How do I clean my dataset while streaming?
I recently spent some time training a decoder only character level transformer. I had trained it with some README files that I found on the "stack" dataset.
Epoch: 45/50 | Train Loss: 0.8878 | Val Loss: 0.943... | https://stackoverflow.com/questions/79880593/decoder-only-character-level-transformer-returns-base64-text-only-how-do-i-clea | machine-learning, deep-learning, nlp, dataset, data-cleaning | 1,769,964,664 |
se_79872844 | stackoverflow | MACHINE_LEARNING | Recommended backend and ML tools for expense prediction app | Recommended backend and ML tools for expense prediction app
I am working on a project to build an AI-powered family budget mobile application.
The app will track income and expenses, categorize transactions, analyze spending
patterns, and predict future expenses.
My current planned technology stack is as follows.
Fron... | https://stackoverflow.com/questions/79872844/recommended-backend-and-ml-tools-for-expense-prediction-app | python, tensorflow, machine-learning, time-series, backend | 1,768,997,632 |
se_79873178 | stackoverflow | MACHINE_LEARNING | CUDA_ARCHITECTURES is set to "native", but no NVIDIA GPU was detected | CUDA_ARCHITECTURES is set to "native", but no NVIDIA GPU was detected
I am trying to install llama-cpp-python with GPU support. I installed Nvidia CUDA Toolkit v13.1, nvidia-smi shows that my graphics card - Geforce GTX 1050 Ti - supports CUDA v13, nvcc is installed correctly.
Before calling pip I set some e... | https://stackoverflow.com/questions/79873178/cuda-architectures-is-set-to-native-but-no-nvidia-gpu-was-detected | python, machine-learning, cuda, gpu, llama | 1,769,027,063 |
se_62646058 | stackoverflow | MACHINE_LEARNING | How does the predict method work on scikit-learn? | How does the predict method work on scikit-learn?
How does the predict() method in scikit-learn work? Does it return random values or is there a calculation under the hood? | https://stackoverflow.com/questions/62646058/how-does-the-predict-method-work-on-scikit-learn | python, machine-learning, scikit-learn, supervised-learning | 1,593,461,890 |
se_79880113 | stackoverflow | MACHINE_LEARNING | Finding microns per pixel of tissue slide sample for ML | Finding microns per pixel of tissue slide sample for ML
I'm building ensemble of convolutional neural networks for identifying different types of cancer stages and properties from tissue slide samples. I have multiple datasets with different magnification sizes (thus multiple CNN's), but even if multiple datasets have... | https://stackoverflow.com/questions/79880113/finding-microns-per-pixel-of-tissue-slide-sample-for-ml | machine-learning, conv-neural-network, medical-imaging | 1,769,878,654 |
se_52695829 | stackoverflow | MACHINE_LEARNING | Object detection using TFLearn or TensorFlow object detection API | Object detection using TFLearn or TensorFlow object detection API
I want to build a object detection model and cannot figure out whether to go for TensorFlow object detection API or use TFLearn to build a model. What the pros and cons of both? | https://stackoverflow.com/questions/52695829/object-detection-using-tflearn-or-tensorflow-object-detection-api | tensorflow, machine-learning, deep-learning, object-detection, tflearn | 1,538,976,200 |
se_79880183 | stackoverflow | MACHINE_LEARNING | Speed up univariate logistic regression using IRLS on large number of subsampled samples | Speed up univariate logistic regression using IRLS on large number of subsampled samples
I'm trying to perform logistic regression on samples randomly subsampled from a huge dataset for binary classification. I implemented logistic regression using iterative reweighted least squares (IRLS) and the Cython code was show... | https://stackoverflow.com/questions/79880183/speed-up-univariate-logistic-regression-using-irls-on-large-number-of-subsampled | python, machine-learning, optimization, logistic-regression | 1,769,887,572 |
se_77161964 | stackoverflow | MACHINE_LEARNING | How to ignore some classes during train, test, val in yolo v8 without modifying dataset? | How to ignore some classes during train, test, val in yolo v8 without modifying dataset?
I have a dataset which has 12 class which is indexed form 0 to 11. I want to ignore last 4 classes during train, test, val in yolov8. How to do that? | https://stackoverflow.com/questions/77161964/how-to-ignore-some-classes-during-train-test-val-in-yolo-v8-without-modifying | machine-learning, yolo, yolov8 | 1,695,452,308 |
se_40066066 | stackoverflow | MACHINE_LEARNING | Why is OpenCV3.1 NormalBayesClassifier's error rate so high in this example? | Why is OpenCV3.1 NormalBayesClassifier's error rate so high in this example?
I'm trying to use OpenCV3.1's NormalBayesClassifier on a simple problem that I can easily generate training data for. I settled on classifying input numbers as even or odd. Obviously this can be computed directly with 100% accuracy, but t... | https://stackoverflow.com/questions/40066066/why-is-opencv3-1-normalbayesclassifiers-error-rate-so-high-in-this-example | c++, opencv, machine-learning, naivebayes | 1,476,583,053 |
se_79877585 | stackoverflow | MACHINE_LEARNING | Need advice on how to handle data and find groupings using ML/AI/DS | Need advice on how to handle data and find groupings using ML/AI/DS
I have a project and I'm new with Data Science/ML/AI. Basically I have data set with list of issues and each issue there is a notes section where engineers talk to support and tell how do they solve or fix the issue. My challenge is I need to identify... | https://stackoverflow.com/questions/79877585/need-advice-on-how-to-handle-data-and-find-groupings-using-ml-ai-ds | machine-learning, artificial-intelligence, data-science, k-means | 1,769,567,971 |
se_64801479 | stackoverflow | MACHINE_LEARNING | How to combine two different trained ML models as one? | How to combine two different trained ML models as one?
I have trained two ml models based on two different datasets. Then I saved them as model1.pkl and model2.pkl . There are two user inputs(not input data for model) like x=0 and x=1 and if x=0 I have to go with model1.pkl for prediction else I have to go with model2... | https://stackoverflow.com/questions/64801479/how-to-combine-two-different-trained-ml-models-as-one | python, pandas, machine-learning, conditional-statements, pickle | 1,605,174,267 |
se_49883290 | stackoverflow | MACHINE_LEARNING | What is the input to LSTM exactly? | What is the input to LSTM exactly?
I have a more theoretical question i wasn't able to find an answer to.
Lets say i have as Input a list of numbers:
input = [0,5,0,4,3,3,2,1]
And lets say as the first hidden layer consists of 3 LSTM nodes.
How is now the list presented to the LSTM (with timesteps=8)?
My first ide... | https://stackoverflow.com/questions/49883290/what-is-the-input-to-lstm-exactly | machine-learning, neural-network, deep-learning, lstm, recurrent-neural-network | 1,523,982,942 |
se_79876321 | stackoverflow | MACHINE_LEARNING | LightGBM regression on rank-transformed target: “No further splits with positive gain” and nearly-constant predictions | LightGBM regression on rank-transformed target: “No further splits with positive gain” and nearly-constant predictions
I’m training a LightGBM model where the evaluation metric is Spearman correlation (rank-based). To better align training with the metric, I transform the continuous target y into ranks scaled to [0,1]... | https://stackoverflow.com/questions/79876321/lightgbm-regression-on-rank-transformed-target-no-further-splits-with-positive | python, machine-learning | 1,769,430,590 |
se_79872469 | stackoverflow | MACHINE_LEARNING | Self-Contained Alt Text Generation For Use In Other Software | Self-Contained Alt Text Generation For Use In Other Software
I am currently working on a tool that takes in every webpage of a site, adds alt text to images missing it, and outputs the webpage as a PDF for archival purposes.
For the generation of alt text, is there a pre-existing machine learning (if that's the right ... | https://stackoverflow.com/questions/79872469/self-contained-alt-text-generation-for-use-in-other-software | machine-learning, computer-vision | 1,768,962,344 |
se_79857277 | stackoverflow | MACHINE_LEARNING | Strategy for Outlier Removal in Skewed Supply Chain Data | Strategy for Outlier Removal in Skewed Supply Chain Data
I am working on a research project involving Supply Chain Forecast Matching, and I am stuck on the best strategy for handling outliers. I am seeking advice from a feature engineering perspective.
1. The Goal: I am building a classification model (XGBoost) to pre... | https://stackoverflow.com/questions/79857277/strategy-for-outlier-removal-in-skewed-supply-chain-data | python, machine-learning, outliers, feature-engineering | 1,767,074,941 |
se_79874746 | stackoverflow | MACHINE_LEARNING | Good resources for learning GPU acceleration & distributed LLM training? | Good resources for learning GPU acceleration & distributed LLM training?
I’m looking to upskill in GPU acceleration and distributed training, particularly for LLMs and fine-tuning workflows.
I’m mainly interested in hands-on, practical resources (courses, certifications, or tutorials) that focus on Python/PyTorch—... | https://stackoverflow.com/questions/79874746/good-resources-for-learning-gpu-acceleration-distributed-llm-training | machine-learning, artificial-intelligence, gpu, large-language-model, fine-tuning | 1,769,187,392 |
se_52861129 | stackoverflow | MACHINE_LEARNING | How to calculate the joint log-likelihood for Bernoulli Naive Bayes | How to calculate the joint log-likelihood for Bernoulli Naive Bayes
For a classification problem using BernoulliNB , how to calculate the joint log-likelihood? The joint likelihood is to be calculated by below formula, where y(d) is the array of actual output (not predicted values) and x(d) is the data set of features... | https://stackoverflow.com/questions/52861129/how-to-calculate-the-joint-log-likelihood-for-bernoulli-naive-bayes | machine-learning, scikit-learn, naivebayes, bernoulli-probability | 1,539,799,730 |
se_79873328 | stackoverflow | MACHINE_LEARNING | Is "Small-to-Large" model staging a reliable proxy for LoRA hyperparameter tuning and data validation? | Is "Small-to-Large" model staging a reliable proxy for LoRA hyperparameter tuning and data validation?
I am designing a fine-tuning pipeline for a production-grade LLM and am operating under a strict R&D budget. To optimize costs, I am considering a Small-to-Large staging strategy.
The Workflow:
Stage 1 (Lo... | https://stackoverflow.com/questions/79873328/is-small-to-large-model-staging-a-reliable-proxy-for-lora-hyperparameter-tunin | machine-learning, nlp, huggingface-transformers, large-language-model, fine-tuning | 1,769,042,862 |
se_79873091 | stackoverflow | MACHINE_LEARNING | How to connect a trained model to android App? | How to connect a trained model to android App?
I was able to successfully implement my own machine learning model in Python and include it in a web app. Now, I would like to port my machine learning model implemented in Python to a native Android app. And I refer many yotube videos I cant get corrrect thing can anyone... | https://stackoverflow.com/questions/79873091/how-to-connect-a-trained-model-to-android-app | python, android, machine-learning | 1,769,016,610 |
se_79871467 | stackoverflow | MACHINE_LEARNING | Machine Learning: Fisher-Irwing test with multilabels | Machine Learning: Fisher-Irwing test with multilabels
I’m implementing the Fisher–Irwin (Fisher’s exact) test for enrichment analysis, and I’ve run into an issue with composite labels that may bias my contingency tables.
Some proteins in my dataset are annotated with combined functional labels (e.g., “assemblyinfectio... | https://stackoverflow.com/questions/79871467/machine-learning-fisher-irwing-test-with-multilabels | machine-learning, statistics, protein-database | 1,768,852,600 |
se_67347479 | stackoverflow | MACHINE_LEARNING | DeepSpeech failed to learn Persian language | DeepSpeech failed to learn Persian language
I’m training DeepSpeech from scratch (without checkpoint) with a language model generated using KenLM as stated in its doc. The dataset is a Common Voice dataset for Persian language.
My configurations are as follows:
Batch size = 2 (due to cuda OOM)
Learning rate = 0.0001
... | https://stackoverflow.com/questions/67347479/deepspeech-failed-to-learn-persian-language | tensorflow, machine-learning, speech-recognition, farsi, mozilla-deepspeech | 1,619,880,327 |
se_79856726 | stackoverflow | MACHINE_LEARNING | Why does this PyTorch model produce non-identical outputs on identical inputs even with fixed random seeds? | Why does this PyTorch model produce non-identical outputs on identical inputs even with fixed random seeds?
I am running inference on a trained PyTorch model using the same input tensor, fixed random seeds, and evaluation mode enabled.
import torch
torch.manual_seed(42)
torch.cuda.manual_seed_all(42)
model.eval()
Des... | https://stackoverflow.com/questions/79856726/why-does-this-pytorch-model-produce-non-identical-outputs-on-identical-inputs-ev | machine-learning, pytorch, neural-network, floating-point | 1,767,005,814 |
se_75635528 | stackoverflow | MACHINE_LEARNING | Optuna sample fixed parameter depending on another parameter | Optuna sample fixed parameter depending on another parameter
As an example lets assume I have a setting like the following of value = base ** power with
base = trial.suggest_int(1, 3)
power = trial.suggest_int(1, 10)
As when the base == 1 the power parameter becomes irrelevant and I would like to fix it to 1.
For exa... | https://stackoverflow.com/questions/75635528/optuna-sample-fixed-parameter-depending-on-another-parameter | python, machine-learning, sampling, hyperparameters, optuna | 1,677,931,279 |
se_79559242 | stackoverflow | MACHINE_LEARNING | tflite-runtime ValueError: Didn't find op for builtin opcode 'FULLY_CONNECTED' version '12'. An older version of this builtin might be supported | tflite-runtime ValueError: Didn't find op for builtin opcode 'FULLY_CONNECTED' version '12'. An older version of this builtin might be supported
I have trained and quantised my models on tensorflow==2.19.0 instead of a previous version and now am facing troubles in using the quantised models for in... | https://stackoverflow.com/questions/79559242/tflite-runtime-valueerror-didnt-find-op-for-builtin-opcode-fully-connected-v | tensorflow, machine-learning, raspberry-pi, image-classification, tflite | 1,744,008,944 |
se_42279814 | stackoverflow | MACHINE_LEARNING | Best machine learning approach to automate text/fuzzy matching | Best machine learning approach to automate text/fuzzy matching
I'm reasonably new to machine learning, I've done a few projects in python. I'm looking for advice on how to approach the below problem which I believe could be automated.
A user in a data quality team in my organisation has a daily task of taking a list ... | https://stackoverflow.com/questions/42279814/best-machine-learning-approach-to-automate-text-fuzzy-matching | machine-learning, text-classification, fuzzy-comparison, record-linkage | 1,487,263,204 |
se_11320344 | stackoverflow | MACHINE_LEARNING | Which approach fits best to predict discrete & continuous solutions from features of variable importance? | Which approach fits best to predict discrete & continuous solutions from features of variable importance?
I need to come up with a formula that takes up to N inputs and calculates a single number that should predict the "correct" answer as often as possible. Each input is a decimal value or integer. The output is ... | https://stackoverflow.com/questions/11320344/which-approach-fits-best-to-predict-discrete-continuous-solutions-from-feature | machine-learning, feature-selection | 1,341,356,195 |
se_3047940 | stackoverflow | MACHINE_LEARNING | Feature Selection methods in MATLAB? | Feature Selection methods in MATLAB?
I am trying to do some text classification with SVMs in MATLAB and would like to know if MATLAB has any methods for feature selection (Chi Sq.,MI,....). Since I want to try various methods and keep the best method, I don't have time to implement all of them. That's why I am looking... | https://stackoverflow.com/questions/3047940/feature-selection-methods-in-matlab | matlab, machine-learning, classification | 1,276,626,317 |
se_26664851 | stackoverflow | MACHINE_LEARNING | Feature selection and training data | Feature selection and training data
I have built a classifier and would like to improve its accuracy beyond its current 73%
I started to incorporate feature selection using Chi Square but how do I get the features selected back into the training data to build the classifier?
If I were to do a comparison for each train... | https://stackoverflow.com/questions/26664851/feature-selection-and-training-data | machine-learning, training-data, feature-selection | 1,414,709,987 |
se_17655517 | stackoverflow | MACHINE_LEARNING | Supervised Learning | Supervised Learning
The question is about combining output probabilities from detectors.
Each of my detector d_i gives me a probability p_i of object presence in the scene.
I have a labelled data set and I would like to learn the weighted combination of the detectors to get a (more accurate) global detector.
What algo... | https://stackoverflow.com/questions/17655517/supervised-learning | machine-learning, probability, supervised-learning | 1,373,895,192 |
se_44821978 | stackoverflow | MACHINE_LEARNING | How to build target variable for supervised machine learning project? | How to build target variable for supervised machine learning project?
I have a project related to insurance. So I have databases about clients that I will merge to get all possible information about the clients and I have one database for the claims. I need to build a model to identify how risky the client based on ra... | https://stackoverflow.com/questions/44821978/how-to-build-target-variable-for-supervised-machine-learning-project | machine-learning, supervised-learning | 1,498,730,353 |
se_79864351 | stackoverflow | MACHINE_LEARNING | Which is more suitable in production environment, python zip vs enumerate? | Which is more suitable in production environment, python zip vs enumerate?
# version1
a = ["child", "car", "grave", "happy", "suprise"]
for index, value in zip(range(len(a)), a):
print("have more control")
# version2
for index, value in enumerate(a):
print("have more life")
what should be more appropriate in produ... | https://stackoverflow.com/questions/79864351/which-is-more-suitable-in-production-environment-python-zip-vs-enumerate | python, machine-learning | 1,767,966,546 |
se_75633662 | stackoverflow | MACHINE_LEARNING | How do you load a specific GPU from CUDA_AVAILABLE_DEVICES in PyTorch? | How do you load a specific GPU from CUDA_AVAILABLE_DEVICES in PyTorch?
I came up with this code but it's resulting in never ending bugs:
def get_device_via_env_variables(deterministic: bool = False, verbose: bool = True) -> torch.device:
device: torch.device = torch.device("cpu")
if torch.cuda.is_available():
... | https://stackoverflow.com/questions/75633662/how-do-you-load-a-specific-gpu-from-cuda-available-devices-in-pytorch | python, machine-learning, deep-learning, pytorch | 1,677,904,437 |
se_79863744 | stackoverflow | MACHINE_LEARNING | Difference between torch.nn.Module and torch.Tensor? | Difference between torch.nn.Module and torch.Tensor?
I’m learning PyTorch and I see two common classes: torch.Tensor and torch.nn.Module. I’m a bit confused about their differences and when to use each.
Here’s what I understand so far:
torch.Tensor represents data, usually a multi-dimensional array, and supports oper... | https://stackoverflow.com/questions/79863744/difference-between-torch-nn-module-and-torch-tensor | python, machine-learning, pytorch | 1,767,905,698 |
se_56842648 | stackoverflow | MACHINE_LEARNING | Is there a way to export a series of scenes rendered in Panda3D as individual image files? | Is there a way to export a series of scenes rendered in Panda3D as individual image files?
I am attempting to use a Python script to artificially generate a training set for an image recognition neural net by rendering a 3D model in a variety of scenes using Panda3D.
I have written the code to successfully render the... | https://stackoverflow.com/questions/56842648/is-there-a-way-to-export-a-series-of-scenes-rendered-in-panda3d-as-individual-im | python, machine-learning, graphics, 3d, panda3d | 1,562,016,221 |
se_79863277 | stackoverflow | MACHINE_LEARNING | Python ValueError while training Logistic Regression model | Python ValueError while training Logistic Regression model
I am trying to train a Logistic Regression model using scikit-learn in Python.
When I try to fit the model, I get the following error:
ValueError: could not convert string to float
Here is the code I am using:
from sklearn.linear_model import LogisticRegressio... | https://stackoverflow.com/questions/79863277/python-valueerror-while-training-logistic-regression-model | machine-learning, scikit-learn, logistic-regression | 1,767,872,900 |
se_77411155 | stackoverflow | MACHINE_LEARNING | Lambda function AttributeError: module 'os' has no attribute 'add_dll_directory' | Lambda function AttributeError: module 'os' has no attribute 'add_dll_directory'
I am encountering an issue with my AWS Lambda function with runtime Python 3.9. The function uses Spacy (version 3.7.2) and is set up as a layer in AWS Lambda. During execution, I'm facing the following error.
{
"errorMe... | https://stackoverflow.com/questions/77411155/lambda-function-attributeerror-module-os-has-no-attribute-add-dll-directory | python-3.x, machine-learning, aws-lambda, spacy-3 | 1,698,940,937 |
se_68265016 | stackoverflow | MACHINE_LEARNING | How to get MAP score of the Yolov4 Model? | How to get MAP score of the Yolov4 Model?
I have a set of Images and Yolo Annotation files(in txt format) for the validation.
How to properly use -map argument (something like below) to get the mAP score of the validation dataset using the darknet framework (Repo:https://github.com/AlexeyAB/darknet)?
/darknet detector... | https://stackoverflow.com/questions/68265016/how-to-get-map-score-of-the-yolov4-model | machine-learning, darknet, yolov4 | 1,625,549,319 |
se_76755300 | stackoverflow | MACHINE_LEARNING | NLembedding for iOS returning nil | NLembedding for iOS returning nil
I'm currently implementing on-device vector search using Apple's Natural Language Library. However, I'm facing an issue where the iOS SentenceEmbedding function is returning nil. It was working fine on macOS and iOS until recently.
I've attached the terminal output and the code line w... | https://stackoverflow.com/questions/76755300/nlembedding-for-ios-returning-nil | ios, swift, machine-learning, nlp | 1,690,207,753 |
se_78407025 | stackoverflow | MACHINE_LEARNING | Trying to cluster short survey answers (1 to 10 words). Am I on the right track? | Trying to cluster short survey answers (1 to 10 words). Am I on the right track?
Here's the explanation of what I want to fully make (it's a project for school):
A user just puts in a file with just the answers to whatever question was asked in the survey
The machine finds similar answers and groups them under one l... | https://stackoverflow.com/questions/78407025/trying-to-cluster-short-survey-answers-1-to-10-words-am-i-on-the-right-track | machine-learning, text, nlp, cluster-analysis | 1,714,463,457 |
se_79861683 | stackoverflow | MACHINE_LEARNING | Semi-Supervised Learning - Confusion Matrix - R | Semi-Supervised Learning - Confusion Matrix - R
I am currently trying the semi-supervised classification (SSC) library in R using code from the vignette.
The vignette removes some observations from the Wine dataset such that it's partially labelled and then predicts the label.
However, if I wondered if anyone could he... | https://stackoverflow.com/questions/79861683/semi-supervised-learning-confusion-matrix-r | r, machine-learning, classification, prediction | 1,767,707,237 |
se_78185218 | stackoverflow | MACHINE_LEARNING | How can I solve the "unhashable type" error when importing TensorFlow in Python? | How can I solve the "unhashable type" error when importing TensorFlow in Python?
I have a Problem with importing TensorFlow in Virtual Studio Code. I tried to execute my code which starts with importing different modules. One of this lines is importing Tensorflow:
import tensorflow as tf
Which gives me the E... | https://stackoverflow.com/questions/78185218/how-can-i-solve-the-unhashable-type-error-when-importing-tensorflow-in-python | python-3.x, machine-learning, error-handling, tensorflow2.0 | 1,710,837,861 |
se_79861943 | stackoverflow | MACHINE_LEARNING | Crafting a roadmap to learn AI, (perhaps using Rust?) | Crafting a roadmap to learn AI, (perhaps using Rust?)
I would like some advice to get into AI (I have been resisting the trend, but today seems to be a base requirement to work anywhere...)
My Setup and current state
Fedora
Threadripper 3960x
Intel Arc B50 (I got it just for this purpose)
I am comfortable with C and... | https://stackoverflow.com/questions/79861943/crafting-a-roadmap-to-learn-ai-perhaps-using-rust | machine-learning, rust, artificial-intelligence | 1,767,732,305 |
se_57847495 | stackoverflow | MACHINE_LEARNING | How to fix function with for loop not iterating. Recommendation system in Python | How to fix function with for loop not iterating. Recommendation system in Python
I'm working on a recommendation system with the python library Surprise.
I'm trying to make a function that iterates over the full list of movies and predicts their ranking value against a user id which is defined in when I call the funct... | https://stackoverflow.com/questions/57847495/how-to-fix-function-with-for-loop-not-iterating-recommendation-system-in-python | python, pandas, machine-learning, data-science, recommendation-engine | 1,567,999,344 |
se_79861393 | stackoverflow | MACHINE_LEARNING | What is the most reliable face liveness detection model and dataset for real-world mobile apps? | What is the most reliable face liveness detection model and dataset for real-world mobile apps?
I’m working on face liveness (anti-spoofing) detection intended for real-world mobile apps (Flutter), and I’m struggling to achieve reliable performance outside controlled datasets.
What I’m trying to achieve
A production-... | https://stackoverflow.com/questions/79861393/what-is-the-most-reliable-face-liveness-detection-model-and-dataset-for-real-wor | python, android, tensorflow, machine-learning, computer-vision | 1,767,683,894 |
se_79859374 | stackoverflow | MACHINE_LEARNING | Text embedding generation with LLMs for a specific usecase | Text embedding generation with LLMs for a specific usecase
I'm dealing with titles for media files, and the task is to separate duplicates. To do this, the plan is to generate embeddings for those titles.
I've tried several models for this, and most of them work in a similar way. You give them a sentence, and they gen... | https://stackoverflow.com/questions/79859374/text-embedding-generation-with-llms-for-a-specific-usecase | machine-learning, nlp | 1,767,379,664 |
se_79808273 | stackoverflow | MACHINE_LEARNING | Machine learning to manage Excel files | Machine learning to manage Excel files
I would like to train a model to understand if an Excel file has the expected structure. I can put a list of right files in a folder and a list of wrong ones in another. Any help and suggestion are appreciated. Best scenario could be having an open source tool able to read the tr... | https://stackoverflow.com/questions/79808273/machine-learning-to-manage-excel-files | excel, validation, machine-learning, tooling-recommendation | 1,762,200,780 |
se_79853945 | stackoverflow | MACHINE_LEARNING | ASP.NET With AI | ASP.NET With AI
I’m working with ASP.NET and I would like to integrate an AI model into my backend API.
Could you please explain the available approaches, the required tools or services, and the best practices for doing this effectively? | https://stackoverflow.com/questions/79853945/asp-net-with-ai | asp.net, database, machine-learning, artificial-intelligence, backend | 1,766,519,328 |
se_79449168 | stackoverflow | MACHINE_LEARNING | MiniBatchKMeans BERTopic not returning topics for half of data | MiniBatchKMeans BERTopic not returning topics for half of data
I am trying to topic a dataset of tweets. I have around 50 million tweets. Unfortunately, such a large dataset will not fit in ram (even 128GB) due to the embeddings. Therefore, I have been working on making an incremental BERTopic as per the docs
As such:... | https://stackoverflow.com/questions/79449168/minibatchkmeans-bertopic-not-returning-topics-for-half-of-data | python, machine-learning, nlp, data-science, topic-modeling | 1,739,900,579 |
se_79857912 | stackoverflow | MACHINE_LEARNING | Is my noise function differentially private? Is flattening then reshaping correct? Or it breaks the image? | Is my noise function differentially private? Is flattening then reshaping correct? Or it breaks the image?
The main function is apply_noise which applies the noise using the laplacian distribution, the scale of the distribution is b which is calculated with an epsilon value and the sensitivity value that comes from th... | https://stackoverflow.com/questions/79857912/is-my-noise-function-differentially-private-is-flattening-then-reshaping-correc | python, numpy, machine-learning, neural-network, noise | 1,767,145,857 |
se_79856693 | stackoverflow | MACHINE_LEARNING | Is this data suitable for ML model if so which one would be best for this type of data? | Is this data suitable for ML model if so which one would be best for this type of data?
I have this data
Name,X1,Y1,X2,Y2,X3,Y3,X4,Y4,,centroid_x,centroid_y,,area
R1-A,79,55,70,87,154,78,159,48,,115.5,67,,2486
R1-B,1108,23,1126,51,1197,44,1174,14,,1151.25,33,,2150.5
R1-C,2134,53,2183,83,2244,75,2194,45,,2188.75,64,... | https://stackoverflow.com/questions/79856693/is-this-data-suitable-for-ml-model-if-so-which-one-would-be-best-for-this-type-o | python, machine-learning, computer-vision | 1,767,003,142 |
se_79852347 | stackoverflow | MACHINE_LEARNING | How can AUC be correctly used with a softmax output, sparse integer labels and categorical_crossentropy for binary classification in Keras? | How can AUC be correctly used with a softmax output, sparse integer labels and categorical_crossentropy for binary classification in Keras?
I am working on a binary image classification task using TensorFlow/Keras (TensorFlow version: 2.19.0). My model architecture is a multimodal setup with two input branches (CT and... | https://stackoverflow.com/questions/79852347/how-can-auc-be-correctly-used-with-a-softmax-output-sparse-integer-labels-and-c | python, tensorflow, machine-learning, keras, transfer-learning | 1,766,334,938 |
se_79846492 | stackoverflow | MACHINE_LEARNING | Pretrained resnet 18 model doesn't have fc layer and has cls and pool layers instead? "Missing key (s) in state_dict: "fc.weight", "fc.bias"." | Pretrained resnet 18 model doesn't have fc layer and has cls and pool layers instead? "Missing key (s) in state_dict: "fc.weight", "fc.bias"."
I am trying to implement this repo in a simple way in my own project. I learned what each layer should do. I thought getting a pretrained AI a... | https://stackoverflow.com/questions/79846492/pretrained-resnet-18-model-doesnt-have-fc-layer-and-has-cls-and-pool-layers-ins | machine-learning, pytorch, artificial-intelligence, resnet, pre-trained-model | 1,765,623,229 |
se_79855418 | stackoverflow | MACHINE_LEARNING | I am confused, when to use tensorflow and pytorch | I am confused, when to use tensorflow and pytorch
I am always confused between tensorflow and pytorch when to use which, because both are used for same task but when to use tensorflow and pytorch, like situation oriented. Some people's said suggested me if doing any research or something use pytorch, it is best for th... | https://stackoverflow.com/questions/79855418/i-am-confused-when-to-use-tensorflow-and-pytorch | machine-learning, deep-learning, computer-vision, artificial-intelligence, software-distribution | 1,766,767,960 |
se_79844667 | stackoverflow | MACHINE_LEARNING | Looking for a working TensorFlow Lite (.tflite) NSFW detection model for Android | Looking for a working TensorFlow Lite (.tflite) NSFW detection model for Android
I specifically need:
-A real .tflite file (not .onnx, not .pb, not .pth, not .mlmodel)
-Image classifier model (NOT segmenter or detector)
-Preferably with 5 classes or at least 2: drawings, hentai, neutral, porn, sexy
-A matching labels.... | https://stackoverflow.com/questions/79844667/looking-for-a-working-tensorflow-lite-tflite-nsfw-detection-model-for-android | android, machine-learning, tensorflow-lite, image-classification | 1,765,526,566 |
se_78466923 | stackoverflow | MACHINE_LEARNING | AttributeError: 'QuantumCircuit' object has no attribute 'cnot' Receiving this error when using the qiskit.QuantumCircuit.cnot | AttributeError: 'QuantumCircuit' object has no attribute 'cnot' Receiving this error when using the qiskit.QuantumCircuit.cnot
def ans(n, depth):
qc = QuantumCircuit(n)
for j in range(depth):
for i in range(n):
param_name = f'theta_{j}_{i}'
theta_param = Paramete... | https://stackoverflow.com/questions/78466923/attributeerror-quantumcircuit-object-has-no-attribute-cnot-receiving-this-e | machine-learning, qiskit | 1,715,496,753 |
se_41455101 | stackoverflow | MACHINE_LEARNING | What is the meaning of the word logits in TensorFlow? | What is the meaning of the word logits in TensorFlow?
In the following TensorFlow function, we must feed the activation of artificial neurons in the final layer. That I understand. But I don't understand why it is called logits? Isn't that a mathematical function?
loss_function = tf.nn.softmax_cross_entropy_with_log... | https://stackoverflow.com/questions/41455101/what-is-the-meaning-of-the-word-logits-in-tensorflow | tensorflow, machine-learning, neural-network, deep-learning, cross-entropy | 1,483,495,351 |
se_47106385 | stackoverflow | MACHINE_LEARNING | Determine WHY Features Are Important in Decision Tree Models | Determine WHY Features Are Important in Decision Tree Models
Often-times stakeholders don't want a black-box model that's good at predicting; they want insights about features to have a better understanding about their business, and so they can explain it to others.
When we inspect the feature importance of an xgboost... | https://stackoverflow.com/questions/47106385/determine-why-features-are-important-in-decision-tree-models | python, machine-learning, scikit-learn, decision-tree, xgboost | 1,509,758,016 |
se_79836759 | stackoverflow | MACHINE_LEARNING | How can I use multiple optional parameters? | How can I use multiple optional parameters?
I have a function that will create multiple ML models compare them and return an ensemble of the top n model results. I want the user to have the option to pass in parameters for each model individually but otherwise enter default parameters. I want to make it so the enterin... | https://stackoverflow.com/questions/79836759/how-can-i-use-multiple-optional-parameters | python, machine-learning, parameter-passing | 1,764,756,602 |
se_79846603 | stackoverflow | MACHINE_LEARNING | Which ML model is best fit for the noisy data and why? | Which ML model is best fit for the noisy data and why?
I am working with a dataset that contains a significant amount of noise and outliers due to measurement errors and real-world variability. The data includes numerical features and is used for a supervised learning task (classification/regression). I want to unders... | https://stackoverflow.com/questions/79846603/which-ml-model-is-best-fit-for-the-noisy-data-and-why | machine-learning | 1,765,640,011 |
se_44668298 | stackoverflow | MACHINE_LEARNING | xgboost vs H2o Gradient Boosting | xgboost vs H2o Gradient Boosting
I have a dataset having a large missing values (more than 40% missing). Genrated a model in xgboost and H2o gradient boosting - got a decent model in both cases. However, the xgboost shows this variable as one of the key contributors to the model but as per H2o Gradient Boosting the va... | https://stackoverflow.com/questions/44668298/xgboost-vs-h2o-gradient-boosting | machine-learning, xgboost, h2o | 1,498,026,378 |
se_48029542 | stackoverflow | MACHINE_LEARNING | Data augmentation in test/validation set? | Data augmentation in test/validation set?
It is common practice to augment data (add samples programmatically, such as random crops, etc. in the case of a dataset consisting of images) on both training and test set, or just the training data set? | https://stackoverflow.com/questions/48029542/data-augmentation-in-test-validation-set | machine-learning, deep-learning | 1,514,590,316 |
se_79843424 | stackoverflow | MACHINE_LEARNING | How do I create APIs for training ML models to play games? (Reference request) | How do I create APIs for training ML models to play games? (Reference request)
I'm interested in learning how to train machine learning models to play video games. I would love to see general references (books and papers) on how to do this; I see lots of papers on the model training itself, but not on how to get the m... | https://stackoverflow.com/questions/79843424/how-do-i-create-apis-for-training-ml-models-to-play-games-reference-request | machine-learning, interface, artificial-intelligence, game-engine | 1,765,399,335 |
se_57348495 | stackoverflow | MACHINE_LEARNING | What is the good RMSE (root-mean-square-error) value range to justify the efficiency of multivariate linear regression model? | What is the good RMSE (root-mean-square-error) value range to justify the efficiency of multivariate linear regression model?
I'm a new bee in ML domain. Following some simple ML techniques, I build a multivariate linear regression-based ML model for predicting the computation resource usage for a system. So, when I p... | https://stackoverflow.com/questions/57348495/what-is-the-good-rmse-root-mean-square-error-value-range-to-justify-the-effici | machine-learning, linear-regression | 1,564,937,462 |
se_63610711 | stackoverflow | MACHINE_LEARNING | how to use yolov3 with opencv.js in browser | how to use yolov3 with opencv.js in browser
I'm new to opencv.js and have a trouble with is as below:
let utils = new Utils('errorMessage');
let cfg = 'yolo_file/test.cfg';
let weights = 'yolo_file/test.weights';
utils.createFileFromUrl('cfg', cfg, () => {
utils.createFileFromUrl('weights', weights, ... | https://stackoverflow.com/questions/63610711/how-to-use-yolov3-with-opencv-js-in-browser | javascript, opencv, machine-learning, neural-network, yolo | 1,598,511,513 |
se_46928328 | stackoverflow | MACHINE_LEARNING | Why training loss is increased at the beginning of each epoch? | Why training loss is increased at the beginning of each epoch?
I'm training a linear regression model. I use tf.contrib.data to prepare the dataset, shuffle it and serve it in batches:
dataset = tf.contrib.data.TFRecordDataset(filename)
dataset = dataset.map(
_parse_function, num_threads=16, output_buffer_s... | https://stackoverflow.com/questions/46928328/why-training-loss-is-increased-at-the-beginning-of-each-epoch | machine-learning, tensorflow, tensorflow-datasets | 1,508,922,506 |
se_79840689 | stackoverflow | MACHINE_LEARNING | instance segmentation on custom coco dataset using pytorch maskrcnn + fpn for 83 categories (+background) | instance segmentation on custom coco dataset using pytorch maskrcnn + fpn for 83 categories (+background)
I am running a training of instance segmentation on custom coco dataset using pytorch maskrcnn + fpn for 83 categories (+background).
What is the problem with following setup and why RPN head not learning at all? ... | https://stackoverflow.com/questions/79840689/instance-segmentation-on-custom-coco-dataset-using-pytorch-maskrcnn-fpn-for-83 | machine-learning, pytorch, computer-vision, mask-rcnn, instance-segmentation | 1,765,179,045 |
se_59907344 | stackoverflow | MACHINE_LEARNING | How to get the confidence of a prediction from a MLModel (Machine Learning Model) in Swift 5 | How to get the confidence of a prediction from a MLModel (Machine Learning Model) in Swift 5
even though my code is pretty simplistic in what it is trying to do, basically I want to have the classifier model return an accuracy/confidence value for how accurate it thinks it's prediction is, on actual Xcode application ... | https://stackoverflow.com/questions/59907344/how-to-get-the-confidence-of-a-prediction-from-a-mlmodel-machine-learning-model | swift, xcode, machine-learning, coreml | 1,579,938,731 |
se_79834752 | stackoverflow | MACHINE_LEARNING | Repetitive generation on instruction tuning for raw language model | Repetitive generation on instruction tuning for raw language model
I have used the following code to do sft:
base_model = "google/gemma-3-270m"
it_model = "google/gemma-3-270m-it"
checkpoint_dir = "checkpoint"
learning_rate = 5e-5 #@param {type:"number"}
from datasets import Dataset
from transformers import pipeline
f... | https://stackoverflow.com/questions/79834752/repetitive-generation-on-instruction-tuning-for-raw-language-model | machine-learning, deep-learning, huggingface-transformers, large-language-model, fine-tuning | 1,764,588,837 |
se_79836536 | stackoverflow | MACHINE_LEARNING | What is the best text embedding model for ecommerce product search (short, noisy user queries)? | What is the best text embedding model for ecommerce product search (short, noisy user queries)?
I am integrating a vector-based semantic search system into a large ecommerce platform's product search, and I want to select the right text embedding model.
Use Case
User queries are often:
Very short (1–4 words)
Ungramma... | https://stackoverflow.com/questions/79836536/what-is-the-best-text-embedding-model-for-ecommerce-product-search-short-noisy | machine-learning, information-retrieval, huggingface, vector-search, semantic-search | 1,764,737,419 |
se_62379250 | stackoverflow | MACHINE_LEARNING | Does an accuracy of 97.55 % indicate an overfitted model? | Does an accuracy of 97.55 % indicate an overfitted model?
I have implemented a logistic regression model in predicting high-risk claims. My model is giving an accuracy of 97%. Does that indicate that my model is overfitted? | https://stackoverflow.com/questions/62379250/does-an-accuracy-of-97-55-indicate-an-overfitted-model | machine-learning, logistic-regression, evaluation | 1,592,176,367 |
se_79833925 | stackoverflow | MACHINE_LEARNING | How to break circular dependency in Python class when trying to separate a simple wrapper class from a heavier implementation? | How to break circular dependency in Python class when trying to separate a simple wrapper class from a heavier implementation?
I am trying to build a small scale deep learning framework. I defined my tensor class as follows
class Tensor:
__slots__ = (
"_backend",
"_data",
"_requires_grad",... | https://stackoverflow.com/questions/79833925/how-to-break-circular-dependency-in-python-class-when-trying-to-separate-a-simpl | python, class, oop, machine-learning | 1,764,509,397 |
se_79834164 | stackoverflow | MACHINE_LEARNING | How to train Azure Document Intelligence to extract dynamic clinical Schedule-of-Assessments tables from protocol PDFs? | How to train Azure Document Intelligence to extract dynamic clinical Schedule-of-Assessments tables from protocol PDFs?
I’m using Azure AI Document Intelligence to train a Custom Extraction model that can extract Schedule-of-Assessments (SoA) tables from clinical trial protocol PDFs.
These tables are challenging becau... | https://stackoverflow.com/questions/79834164/how-to-train-azure-document-intelligence-to-extract-dynamic-clinical-schedule-of | azure, machine-learning, ocr, azure-form-recognizer, azure-document-intelligence | 1,764,534,444 |
se_24046396 | stackoverflow | MACHINE_LEARNING | Hyper-parameters of Gaussian Processes for Regression | Hyper-parameters of Gaussian Processes for Regression
I know a Gaussian Process Regression model is mainly specified by its covariance matrix and the free hyper-parameters act as the 'weights'of the model. But could anyone explain what do the 2 hyper-parameters (length-scale & amplitude) in the covariance matrix repre... | https://stackoverflow.com/questions/24046396/hyper-parameters-of-gaussian-processes-for-regression | matlab, machine-learning, statistics, hyperparameters | 1,401,911,675 |
se_79832858 | stackoverflow | MACHINE_LEARNING | ONNX Script rewriter: how to match patterns with multiple outputs? | ONNX Script rewriter: how to match patterns with multiple outputs?
I am trying to implement this rewrite rule from the TASO paper with ONNX Script rewriter. However, I cannot figure out how to implement a pattern with multiple outputs X and Y.
The ONNX Script does partially account for this (https://microsoft.github.... | https://stackoverflow.com/questions/79832858/onnx-script-rewriter-how-to-match-patterns-with-multiple-outputs | machine-learning, compiler-optimization, tensor, onnx | 1,764,357,576 |
se_62409303 | stackoverflow | MACHINE_LEARNING | How to handle missing values (NaN) in categorical data when using scikit-learn OneHotEncoder? | How to handle missing values (NaN) in categorical data when using scikit-learn OneHotEncoder?
I have recently started learning python to develop a predictive model for a research project using machine learning methods. I have a large dataset comprised of both numerical and categorical data. The dataset has lots of mis... | https://stackoverflow.com/questions/62409303/how-to-handle-missing-values-nan-in-categorical-data-when-using-scikit-learn-o | python, machine-learning, scikit-learn | 1,592,312,956 |
se_66284850 | stackoverflow | MACHINE_LEARNING | Pytorch transforms.Compose usage for pair of images in segmentation tasks | Pytorch transforms.Compose usage for pair of images in segmentation tasks
I'm trying to use the transforms.Compose() in my segmentation task. But I'm not sure how to use the same (almost) random transforms for both the image and the mask.
So in my segmentation task, I have the raw picture and the corresponding mask, I... | https://stackoverflow.com/questions/66284850/pytorch-transforms-compose-usage-for-pair-of-images-in-segmentation-tasks | python, image, machine-learning, pytorch | 1,613,767,950 |
se_79830513 | stackoverflow | MACHINE_LEARNING | How to categorize small/local company names into sectors (Tech, Industry, etc.) when they cannot be found online? | How to categorize small/local company names into sectors (Tech, Industry, etc.) when they cannot be found online?
I have a large dataset containing small-scale / local company names, and I need to categorize each company into sectors such as Tech, Industrial, Finance, Retail, etc.
The problem is:
These companies are t... | https://stackoverflow.com/questions/79830513/how-to-categorize-small-local-company-names-into-sectors-tech-industry-etc | python, machine-learning, classification | 1,764,148,943 |
se_79828541 | stackoverflow | MACHINE_LEARNING | EfficientNet-B7 Shape mismatch | EfficientNet-B7 Shape mismatch
working on project of image classification using efficientnet-B7 what is wrong in this code? why is the error showing when i run this line of code? the error state
Shape mismatch in layer #1 (named stem_conv)for weight stem_conv/kernel.
Weight expects shape (3, 3, 1, 64). Received saved... | https://stackoverflow.com/questions/79828541/efficientnet-b7-shape-mismatch | tensorflow, machine-learning | 1,763,981,726 |
se_79829106 | stackoverflow | MACHINE_LEARNING | SSLCertVerificationError when fetching OpenML datasets in conda environment on Ubuntu | SSLCertVerificationError when fetching OpenML datasets in conda environment on Ubuntu
I’m on Ubuntu using a conda environment (ML(Python 3.12.9)), and I get a SSL certificate verification error when trying to load a dataset from OpenML with sklearn.datasets.fetch_openml. I already installed certifi inside the environm... | https://stackoverflow.com/questions/79829106/sslcertverificationerror-when-fetching-openml-datasets-in-conda-environment-on-u | python, machine-learning, ssl, openml | 1,764,018,733 |
se_79325929 | stackoverflow | MACHINE_LEARNING | TFLite from Google Auto ML Edge Object Detection crash when Invoke | TFLite from Google Auto ML Edge Object Detection crash when Invoke
I've been trying to use Model TFLite obtained from Google Auto ML Object Detection for Edge. My script look like this:
import pandas as pd
import tensorflow as tf
import numpy as np
model_path = "model.tflite"
import tensorflow as tf
interpreter = ... | https://stackoverflow.com/questions/79325929/tflite-from-google-auto-ml-edge-object-detection-crash-when-invoke | python, tensorflow, machine-learning, google-cloud-platform, tflite | 1,735,894,119 |
se_68242454 | stackoverflow | MACHINE_LEARNING | Can Yolo-V3 trained model be converted to TensorFlow model? | Can Yolo-V3 trained model be converted to TensorFlow model?
I have trained my model of doors in yolo-v3 but now I need it in TensorFlow-Lite. But, I am facing a problem, that is, if I want to train my model for tensorflow, I need annotation file in ".csv" or ".xml" but the ones I have are "*.txt". I did found a softwa... | https://stackoverflow.com/questions/68242454/can-yolo-v3-trained-model-be-converted-to-tensorflow-model | python, tensorflow, machine-learning, computer-vision, yolo | 1,625,382,251 |
se_68558286 | stackoverflow | MACHINE_LEARNING | How to install Nvidia Apex | How to install Nvidia Apex
I am trying to install apex on colab by Nvidia but failed several times. I tried number of different solutions including ones provided by Github official repository. I also tried answers provided here.
Every time I try I encounter error like this`
torch.__version__ = 1.9.0+cu102
/tmp/pip-... | https://stackoverflow.com/questions/68558286/how-to-install-nvidia-apex | python, machine-learning, google-colaboratory, nvidia | 1,627,466,468 |
se_10565868 | stackoverflow | MACHINE_LEARNING | multi-layer perceptron (MLP) architecture: criteria for choosing number of hidden layers and size of the hidden layer? | multi-layer perceptron (MLP) architecture: criteria for choosing number of hidden layers and size of the hidden layer?
If we have 10 eigenvectors then we can have 10 neural nodes in input layer.If we have 5 output classes then we can have 5 nodes in output layer.But what is the criteria for choosing number of hidden l... | https://stackoverflow.com/questions/10565868/multi-layer-perceptron-mlp-architecture-criteria-for-choosing-number-of-hidde | machine-learning, neural-network, deep-learning, perceptron | 1,336,843,088 |
se_39540123 | stackoverflow | MACHINE_LEARNING | multioutput regression by xgboost | multioutput regression by xgboost
Is it possible to train a model by xgboost that has multiple continuous outputs (multi-regression)?
What would be the objective of training such a model? | https://stackoverflow.com/questions/39540123/multioutput-regression-by-xgboost | machine-learning, xgboost | 1,474,060,235 |
se_78376085 | stackoverflow | MACHINE_LEARNING | RuntimeError: Default process group has not been initialized, please make sure to call init_process_group | RuntimeError: Default process group has not been initialized, please make sure to call init_process_group
I am using CoDi which is multimodal Latent diffusion model. I am trying to remove the modules on images and video from CoDi and fine tune it with text-music pair data.
The training script (train.py) for generating... | https://stackoverflow.com/questions/78376085/runtimeerror-default-process-group-has-not-been-initialized-please-make-sure-t | python, machine-learning, deep-learning, pytorch, artificial-intelligence | 1,713,935,111 |
se_59419617 | stackoverflow | MACHINE_LEARNING | I can't install OpenOpt in Python 3 | I can't install OpenOpt in Python 3
I have upgrade my pip.
sudo pip install --upgrade pip
And used
sudo pip install openopt
It says:
Collecting sortedcontainers
Downloading https://files.pythonhosted.org/packages/13/f3/cf85f7c3a2dbd1a515d51e1f1676d971abe41bba6f4ab5443240d9a78e5b/sortedcontainers-2.1.0-py2.py3-... | https://stackoverflow.com/questions/59419617/i-cant-install-openopt-in-python-3 | machine-learning, svm, quadratic-programming | 1,576,813,948 |
se_71809044 | stackoverflow | MACHINE_LEARNING | metric learning and contrastive learning difference | metric learning and contrastive learning difference
I researched some materials，and know that the goal of contrastive learning and metric learning are both to learn such an embedding space in which similar sample pairs stay close to each other while dissimilar ones are far apart. But what is the difference of metric l... | https://stackoverflow.com/questions/71809044/metric-learning-and-contrastive-learning-difference | machine-learning, deep-learning, embedding, supervised-learning, self-supervised-learning | 1,649,515,242 |
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