id stringlengths 7 11 | source stringclasses 1
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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_79226790 | stackoverflow | MACHINE_LEARNING | Passing request context from FastAPI to Microsoft Semantic Kernel Plugin for OpenAI Integration | Passing request context from FastAPI to Microsoft Semantic Kernel Plugin for OpenAI Integration
I am integrating Microsoft Semantic Kernel with OpenAI in my FastAPI application. I have a chat/ endpoint where I receive a session_id from the request, and I need to pass this session_id to a plugin along with the openai_c... | https://stackoverflow.com/questions/79226790/passing-request-context-from-fastapi-to-microsoft-semantic-kernel-plugin-for-ope | python, machine-learning, rag, semantic-kernel, semantic-kernel-plugins | 1,732,625,494 |
se_79695214 | stackoverflow | MACHINE_LEARNING | i want to custmize data.yaml file for train yolo11x.pt model by ultralytics? | i want to custmize data.yaml file for train yolo11x.pt model by ultralytics?
class_id x_center y_center width height behavior_id
eg.txt file data 6 0.260313 0.739167 0.131875 0.038333 1
6 0.580313 0.821250 0.290625 0.245834 0
6 0.821562 0.775416 0.230625 0.179167 0
6 0.914062 0.800416 0.170625 0.215833 1
data.yaml fi... | https://stackoverflow.com/questions/79695214/i-want-to-custmize-data-yaml-file-for-train-yolo11x-pt-model-by-ultralytics | machine-learning, deep-learning, yolov8, ultralytics | 1,752,044,923 |
se_79557313 | stackoverflow | MACHINE_LEARNING | No attention output in jinaai/jina-embeddings-v3 embedding model | No attention output in jinaai/jina-embeddings-v3 embedding model
When I use this model like so -
from transformers import AutoModel, AutoTokenizer
model_id = "jinaai/jina-embeddings-v3"
tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
model = AutoModel.from_pretrained(model_id, trust_remote... | https://stackoverflow.com/questions/79557313/no-attention-output-in-jinaai-jina-embeddings-v3-embedding-model | machine-learning, nlp, artificial-intelligence, huggingface-transformers, sentence-transformers | 1,743,874,155 |
se_71101956 | stackoverflow | MACHINE_LEARNING | fitting on X_train and y_train | fitting on X_train and y_train
For somebody super beginner how can one remember what to pass into model.fit?
I have to keep on looking up that we are supposed to pass X_train, y_train.
But I guess I don't fully understand why we don't pass in something else such as:
X_train, y_test.
Thank you!
Josh | https://stackoverflow.com/questions/71101956/fitting-on-x-train-and-y-train | python, machine-learning, data-science | 1,644,764,900 |
se_79700340 | stackoverflow | MACHINE_LEARNING | RendezvousTimeoutError when using torchrun | RendezvousTimeoutError when using torchrun
I am attempting to do training with multiple GPUs on pytorch, but am experiencing a RendezvousTimeoutError when doing so. I have looked at the relevant documentation and forums, but have not solved the issue.
Here are relevant details of what I am attempting:
I am trying to u... | https://stackoverflow.com/questions/79700340/rendezvoustimeouterror-when-using-torchrun | machine-learning, pytorch | 1,752,452,893 |
se_44244711 | stackoverflow | MACHINE_LEARNING | Imbalanced data: undersampling or oversampling? | Imbalanced data: undersampling or oversampling?
I have binary classification problem where one class represented 99.1% of all observations (210 000). As a strategy to deal with the imbalanced data, I choose sampling techniques. But I don't know what to do: undersampling my majority class or oversampling the less repre... | https://stackoverflow.com/questions/44244711/imbalanced-data-undersampling-or-oversampling | python, machine-learning, classification, random-forest, supervised-learning | 1,496,067,477 |
se_76502318 | stackoverflow | MACHINE_LEARNING | XGBoost: How to use a DMatrix with scikit-learn interface .fit | XGBoost: How to use a DMatrix with scikit-learn interface .fit
I am currently using the scikit-learn interface for XGBoost in my project. However, I have an extremely large dataset, and each time I call .fit, the data is converted to a DMatrix, which is very time-consuming, especially when using a GPU that trains rela... | https://stackoverflow.com/questions/76502318/xgboost-how-to-use-a-dmatrix-with-scikit-learn-interface-fit | python, machine-learning, artificial-intelligence, xgboost | 1,687,118,185 |
se_53580088 | stackoverflow | MACHINE_LEARNING | Calculate the output size in convolution layer | Calculate the output size in convolution layer
How do I calculate the output size in a convolution layer?
For example, I have a 2D convolution layer that takes a 3x128x128 input and has 40 filters of size 5x5. | https://stackoverflow.com/questions/53580088/calculate-the-output-size-in-convolution-layer | machine-learning, deep-learning, pytorch, conv-neural-network | 1,543,752,568 |
se_79704525 | stackoverflow | MACHINE_LEARNING | XGBClassifier different performance on different OS | XGBClassifier different performance on different OS
XGBClassifier(
tree_method='hist',
objective='multi:softprob',
num_class=3,
n_estimators=50,
max_depth=5,
learning_rate=0.1,
eval_metric='mlogloss',
subsample=1.0,
colsample_bytree=1.0,
r... | https://stackoverflow.com/questions/79704525/xgbclassifier-different-performance-on-different-os | python, machine-learning, xgboost | 1,752,741,571 |
se_60770707 | stackoverflow | MACHINE_LEARNING | Is there an R function to optimize the PRG AUC (area under the precision-recall-gain curve)? | Is there an R function to optimize the PRG AUC (area under the precision-recall-gain curve)?
To optimize the PR AUC (area under the precision-recall curve) in Caret, the prSummary function can be plugged into the trainControl function.
Is there a similar way to optimize the PRG AUC (area under the precision-recall-ga... | https://stackoverflow.com/questions/60770707/is-there-an-r-function-to-optimize-the-prg-auc-area-under-the-precision-recall | r, machine-learning, r-caret, precision-recall | 1,584,692,737 |
se_79329352 | stackoverflow | MACHINE_LEARNING | ModuleNotFoundError: No module named 'llama_index.text_splitter' | ModuleNotFoundError: No module named 'llama_index.text_splitter'
I used this to import
from llama_index.text_splitter import SentenceSplitter
and my python version - 3.11.5 and llama_index version - 0.12.8 but give this error
ModuleNotFoundError: No module named 'llama_index.text_splitter
How to solve this?
... | https://stackoverflow.com/questions/79329352/modulenotfounderror-no-module-named-llama-index-text-splitter | python, machine-learning, llama-index | 1,736,014,105 |
se_69539538 | stackoverflow | MACHINE_LEARNING | ERROR: vars() argument must have __dict__ attribute when trying to use trainer.train() on custom HF dataset? | ERROR: vars() argument must have __dict__ attribute when trying to use trainer.train() on custom HF dataset?
I have the following model that I am trying to fine-tune (CLIP_ViT + classification head). Here’s my model definition:
class CLIPNN(nn.Module):
def __init__(self, num_labels, pretrained_name="openai/clip-v... | https://stackoverflow.com/questions/69539538/error-vars-argument-must-have-dict-attribute-when-trying-to-use-trainer-t | dictionary, machine-learning, pytorch, dataset, huggingface-transformers | 1,634,037,123 |
se_79696178 | stackoverflow | MACHINE_LEARNING | How do I train an object detection model using Torchvision's pre-trained models? | How do I train an object detection model using Torchvision's pre-trained models?
I read the torchvision API documentation using pre-trained models for object detection. This is an example they have included:
from torchvision.io.image import decode_image
from torchvision.models.detection import fasterrcnn_resnet50_... | https://stackoverflow.com/questions/79696178/how-do-i-train-an-object-detection-model-using-torchvisions-pre-trained-models | python, machine-learning, object-detection, torchvision, pre-trained-model | 1,752,090,392 |
se_79701573 | stackoverflow | MACHINE_LEARNING | Doing inference for Nvidia's onnx model (PeopleNet) | Doing inference for Nvidia's onnx model (PeopleNet)
I am implementing PeopleNet onnx model at my cpp application.
The following are preprocessing and postprocessing functions.
void preprocessGpuBatch(const std::vector<cv::cuda::GpuMat>& gpu_frames,
cv::Mat& blob,
cv:... | https://stackoverflow.com/questions/79701573/doing-inference-for-nvidias-onnx-model-peoplenet | c++, opencv, machine-learning, nvidia, inference-engine | 1,752,555,687 |
se_59134865 | stackoverflow | MACHINE_LEARNING | Tensorflow : How to optimize trained model size? | Tensorflow : How to optimize trained model size?
I am building a simple TensorFlow model where I am fine-tuning the Elmo model using Tf-Hub module.
I am getting a good result but the problem is when I am saving the model, It's very large where the same time I built the same model in Keras and it's in Kb.
My input da... | https://stackoverflow.com/questions/59134865/tensorflow-how-to-optimize-trained-model-size | python, tensorflow, machine-learning, keras, deep-learning | 1,575,274,424 |
se_61995568 | stackoverflow | MACHINE_LEARNING | Equation of the hyperplane for machine learning | Equation of the hyperplane for machine learning
I'm doing a ML MOOC through Edx(archived) and am trying to figure out what theta is for hyperplanes.
So the equation is
When Theta = [-1, 1.5] and Theta_0 = [3], we have:
How do I interpret theta? I thought it was [change in x, change in y], but the line in the i... | https://stackoverflow.com/questions/61995568/equation-of-the-hyperplane-for-machine-learning | machine-learning, classification, linear-algebra | 1,590,379,498 |
se_79609185 | stackoverflow | MACHINE_LEARNING | Gradient descent in linear regression causing parameter to be -infinity | Gradient descent in linear regression causing parameter to be -infinity
I'm trying to implement a simple linear regression algo, and for that I've written two functions:
Cost function
Gradient descent
Cost function appears to work normally, as in it's not giving me unusually large or unusually small numbers.
Whereas... | https://stackoverflow.com/questions/79609185/gradient-descent-in-linear-regression-causing-parameter-to-be-infinity | python, machine-learning, linear-regression | 1,746,551,790 |
se_76703386 | stackoverflow | MACHINE_LEARNING | How to Handle Imbalanced Data in a Classification Problem? | How to Handle Imbalanced Data in a Classification Problem?
I am working on a binary classification problem using machine learning, where my target classes are imbalanced. I have approximately 80% of data points in Class A and only 20% in Class B.
I have tried using various classifiers like Random Forest and Logistic R... | https://stackoverflow.com/questions/76703386/how-to-handle-imbalanced-data-in-a-classification-problem | machine-learning, scikit-learn, classification, imbalanced-data | 1,689,588,356 |
se_29980037 | stackoverflow | MACHINE_LEARNING | Tokenizing text with scikit-learn | Tokenizing text with scikit-learn
I have the following code to extract features from a set of files (folder name is the category name) for text classification.
import sklearn.datasets
from sklearn.feature_extraction.text import TfidfVectorizer
train = sklearn.datasets.load_files('./train', description=None, categori... | https://stackoverflow.com/questions/29980037/tokenizing-text-with-scikit-learn | python, machine-learning, scikit-learn, text-classification, scikits | 1,430,440,749 |
se_79696941 | stackoverflow | MACHINE_LEARNING | Custom TFJS layer no trainable variables found during training | Custom TFJS layer no trainable variables found during training
I made a custom layer in TensorFlow.js that consists of sublayers but not weights of its own. Here is a simplified example
import * as tf from "@tensorflow/tfjs";
import { LayerArgs } from "@tensorflow/tfjs-layers/dist/engine/topology";
import { Kwargs } f... | https://stackoverflow.com/questions/79696941/custom-tfjs-layer-no-trainable-variables-found-during-training | tensorflow, machine-learning, tensorflow.js | 1,752,145,110 |
se_79695574 | stackoverflow | MACHINE_LEARNING | unable to load a model with Keras | unable to load a model with Keras
I wanted to create a speech recognition application and I was following this tutorial : Transformer ASR.
After training it for 1 epoch, I saved the model and it saved successfully:
model.save("model_1_epoch.keras")
But when I tried to load the model again:
custom_objects = {
'Tok... | https://stackoverflow.com/questions/79695574/unable-to-load-a-model-with-keras | python, tensorflow, machine-learning, keras, recurrent-neural-network | 1,752,062,034 |
se_76098441 | stackoverflow | MACHINE_LEARNING | Detectron2 pre-trained model using layoutparser in Docker container Error: Checkpoint Not Found | Detectron2 pre-trained model using layoutparser in Docker container Error: Checkpoint Not Found
following is my Dockerfile.
FROM python:3.9
RUN apt-get clean && apt-get update
pip install --upgrade pip
RUN pip install layoutparser
RUN pip install "layoutparser[ocr]"
RUN pip install pytesseract
RUN pip install p... | https://stackoverflow.com/questions/76098441/detectron2-pre-trained-model-using-layoutparser-in-docker-container-error-check | python, machine-learning, ocr, detectron, layout-parser | 1,682,406,460 |
se_79693338 | stackoverflow | MACHINE_LEARNING | HDBSCAN Interpretation and Logic | HDBSCAN Interpretation and Logic
I have made a basic HDBSCAN model (picture output below) but I need to figure out names for the individual clusters. Is there a way I can get something like a decision tree or the parameters for each cluster as that is what I need to classify these clusters properly. For example: cat... | https://stackoverflow.com/questions/79693338/hdbscan-interpretation-and-logic | python, machine-learning, artificial-intelligence, decision-tree, hdbscan | 1,751,917,233 |
se_69970319 | stackoverflow | MACHINE_LEARNING | ValueError: Exception encountered when calling layer "sequential_5" (type Sequential) | ValueError: Exception encountered when calling layer "sequential_5" (type Sequential)
I am following this course :
TensorFlow Developer Certificate in 2022: Zero to Mastery
This is the following code :
# Set random seed
tf.random.set_seed(42)
# Create some regression data
X_regression = np.arange(0, 1000, ... | https://stackoverflow.com/questions/69970319/valueerror-exception-encountered-when-calling-layer-sequential-5-type-sequen | python, tensorflow, machine-learning, keras, deep-learning | 1,636,958,653 |
se_74968093 | stackoverflow | MACHINE_LEARNING | Most efficient way to use a large image dataset with Google Colab -- getting drive timeout + memory errors | Most efficient way to use a large image dataset with Google Colab -- getting drive timeout + memory errors
I'm using Google Colab to a classifier in PyTorch and my training dataset has ~30,000 JPEG images which I have stored in my Google Drive. Efficiently using this large amount of data with Colab and Drive has been ... | https://stackoverflow.com/questions/74968093/most-efficient-way-to-use-a-large-image-dataset-with-google-colab-getting-dri | python, machine-learning, deep-learning, pytorch, google-colaboratory | 1,672,471,083 |
se_78493742 | stackoverflow | MACHINE_LEARNING | Feedback manager requires a model with a single signature inference | Feedback manager requires a model with a single signature inference
i have been encountering this error while trying to run a machine running model, the model is supposed to power a driver drowsiness detection project
W0000 00:00:1715924294.765512 2256 inference_feedback_manager.cc:114]
Feedback manager requires a... | https://stackoverflow.com/questions/78493742/feedback-manager-requires-a-model-with-a-single-signature-inference | machine-learning, keras, conv-neural-network, tf.keras | 1,715,925,590 |
se_22137953 | stackoverflow | MACHINE_LEARNING | Find coordinate of eye corner using difference in color | Find coordinate of eye corner using difference in color
I am using opencv 2.4.2 and c++. I have a face image. From left of the picture, I want, with the least complexity, to determine the coordinate of one corner of the eye. My program will be as follows:
Face image input
Scan image from top until it encounters a ki... | https://stackoverflow.com/questions/22137953/find-coordinate-of-eye-corner-using-difference-in-color | c++, opencv, machine-learning, image-processing, computer-vision | 1,393,815,753 |
se_79541286 | stackoverflow | MACHINE_LEARNING | Different Feature Selection Results Between Local (Ubuntu VM) and Databricks Using sklearn's SequentialFeatureSelector | Different Feature Selection Results Between Local (Ubuntu VM) and Databricks Using sklearn's SequentialFeatureSelector
I am migrating from running my machine learning pipeline in VS Code with Ubuntu on a VM into Databricks. When I test the same dataset using the same code, I get different selected features from Se... | https://stackoverflow.com/questions/79541286/different-feature-selection-results-between-local-ubuntu-vm-and-databricks-usi | python, machine-learning, scikit-learn, databricks, feature-selection | 1,743,160,974 |
se_79689480 | stackoverflow | MACHINE_LEARNING | How to create a speech recognition model from scratch in Python | How to create a speech recognition model from scratch in Python
I am looking to create a speech recognition model from scratch without using an existing model. I have already used Whisper successfully but I need to create a model that I can train myself whose performance can be measured against whisper.
Is there any r... | https://stackoverflow.com/questions/79689480/how-to-create-a-speech-recognition-model-from-scratch-in-python | python, machine-learning, speech-recognition, speech-to-text | 1,751,578,827 |
se_79250549 | stackoverflow | MACHINE_LEARNING | Python Error: rv_generic.interval() missing 1 required positional argument: 'confidence' | Python Error: rv_generic.interval() missing 1 required positional argument: 'confidence'
I have been trying to run the below code to calculate upper and lower confidence intervals using t distribution, but it keeps throwing the error in the subject. The piece of code is as below:
import pandas as pd
import num... | https://stackoverflow.com/questions/79250549/python-error-rv-generic-interval-missing-1-required-positional-argument-con | python, machine-learning, scipy, distribution | 1,733,304,733 |
se_76626629 | stackoverflow | MACHINE_LEARNING | SKlearn classifier's predict_proba doesn't sum to 1 | SKlearn classifier's predict_proba doesn't sum to 1
I have a classifier (in this case, it is the sklearn.MLPClassifier), with which I'm trying to perform classification into one of 18 classes.
The class is thus multi-class, not multi-label. I'm trying to predict only a single class.
I have my training data: X... | https://stackoverflow.com/questions/76626629/sklearn-classifiers-predict-proba-doesnt-sum-to-1 | python, machine-learning, scikit-learn | 1,688,629,888 |
se_79619561 | stackoverflow | MACHINE_LEARNING | Tensorflow: Using Masking in Combination with Concatenate Layer | Tensorflow: Using Masking in Combination with Concatenate Layer
I am trying to use masking in combination with a concatenation layer. So I have one input (jet), that is padded and masked. I want to concatenate to it another input (lepton) which is passed through a RepertVector()-layer. After the concatenation, an LSTM... | https://stackoverflow.com/questions/79619561/tensorflow-using-masking-in-combination-with-concatenate-layer | python, tensorflow, machine-learning | 1,747,136,427 |
se_44495698 | stackoverflow | MACHINE_LEARNING | Keras: Difference between Kernel and Activity regularizers | Keras: Difference between Kernel and Activity regularizers
I have noticed that weight_regularizer is no more available in Keras and that, in its place, there are activity and kernel regularizer.
I would like to know:
What are the main differences between kernel and activity regularizers?
Could I use activity_regula... | https://stackoverflow.com/questions/44495698/keras-difference-between-kernel-and-activity-regularizers | machine-learning, keras, keras-layer | 1,497,258,994 |
se_79687024 | stackoverflow | MACHINE_LEARNING | Neural Network built from scratch using numpy isn't learning | Neural Network built from scratch using numpy isn't learning
I'm building a neural network from scratch using only Python and numpy, It's meant for classifying the MNIST data set, I got everything to work but the network isn't really learning, at epoch 0 it's accuracy is about 12% after 20 epochs, it increases to ... | https://stackoverflow.com/questions/79687024/neural-network-built-from-scratch-using-numpy-isnt-learning | python, numpy, machine-learning, deep-learning, neural-network | 1,751,441,876 |
se_75524850 | stackoverflow | MACHINE_LEARNING | Is there any other way to push large pickle files (bigger than 100 MB) to GitHub repo other than Git LFS? (For my ML project) | Is there any other way to push large pickle files (bigger than 100 MB) to GitHub repo other than Git LFS? (For my ML project)
I am a beginner in ML. As per my understanding, we generally store our trained model in a pickle file. (If we are working in Python). However, GitHub has a file size upload limit of 100 MB. For... | https://stackoverflow.com/questions/75524850/is-there-any-other-way-to-push-large-pickle-files-bigger-than-100-mb-to-github | python, github, machine-learning, pickle, streamlit | 1,677,006,224 |
se_79605098 | stackoverflow | MACHINE_LEARNING | Cross-validation with PyTorch | Cross-validation with PyTorch
I am trying to implement cross-validation with PyTorch;
I am used to Sklearn's cross_validation function which is much simpler to use (most likely because I did not fully understand what was happening under the hood); I was hoping someone could advise if first of all this looks correct an... | https://stackoverflow.com/questions/79605098/cross-validation-with-pytorch | python, machine-learning, pytorch, cross-validation | 1,746,305,389 |
se_29708096 | stackoverflow | MACHINE_LEARNING | Selection of training data for SVM | Selection of training data for SVM
I know similar questions have been posed a few times here, but I have another point that is not clear to me.
I have 1098 images that I am trying to classify. As a general rule (from what I have read), the split for the data is
80/20 - Train/Test
of the 80% Training data
80/20 or... | https://stackoverflow.com/questions/29708096/selection-of-training-data-for-svm | machine-learning | 1,429,299,856 |
se_79685782 | stackoverflow | MACHINE_LEARNING | softmax functions always outputing garbage numbers that don't add up to one | softmax functions always outputing garbage numbers that don't add up to one
I am creating a simple NN from scratch that can classify MNIST digits, It only has 1 hidden layer:-
Loading the data:
import numpy as np
import matplotlib.pyplot as plt
from keras.datasets import mnist
(x_train, y_train), (x_test, y_test)... | https://stackoverflow.com/questions/79685782/softmax-functions-always-outputing-garbage-numbers-that-dont-add-up-to-one | python, numpy, machine-learning, deep-learning, artificial-intelligence | 1,751,360,619 |
se_79396213 | stackoverflow | MACHINE_LEARNING | Using an input layer as a weight to a second input layer | Using an input layer as a weight to a second input layer
I have two inputs structures where each feature in the second input uses the values of input 1 to calculate each of the features. Then the second input layer is then connected to the hidden layers and finally to a single output layer. So lets say I have in the f... | https://stackoverflow.com/questions/79396213/using-an-input-layer-as-a-weight-to-a-second-input-layer | tensorflow, machine-learning, keras, neural-network | 1,738,142,254 |
se_27363129 | stackoverflow | MACHINE_LEARNING | How to programmatically learn regexes? | How to programmatically learn regexes?
My question is a continuation of this one. Basically, I have a table of words like so:
HAT18178_890909.098070313.1
HAT18178_890909.098070313.2
HAT18178_890909.143412462.1
HAT18178_890909.143412462.2
For my purposes, I do not need the terminal .1 or .2 for this set of names. ... | https://stackoverflow.com/questions/27363129/how-to-programmatically-learn-regexes | regex, machine-learning | 1,418,058,455 |
se_79635390 | stackoverflow | MACHINE_LEARNING | PyTorch and Streamlit interaction error: "Tried to instantiate class '__path__._path', but it does not exist!" | PyTorch and Streamlit interaction error: "Tried to instantiate class '__path__._path', but it does not exist!"
I'm developing an application that uses Streamlit and PyTorch (through the huggingface transformers library) to analyze system requirements with a language model. However, I'm encountering t... | https://stackoverflow.com/questions/79635390/pytorch-and-streamlit-interaction-error-tried-to-instantiate-class-path | python, machine-learning, pytorch, huggingface-transformers, streamlit | 1,747,998,374 |
se_79681038 | stackoverflow | MACHINE_LEARNING | Language Model Evaluation with Custom Task - Hugging Face Lighteval | Language Model Evaluation with Custom Task - Hugging Face Lighteval
I am creating a benchmark to evaluate a language model. First, I generated the dataset that I'm gonna prompt the Language model with. Subsequently, I tried to evaluate any tiny language model just to get a end-to-end small functioning app. I followed ... | https://stackoverflow.com/questions/79681038/language-model-evaluation-with-custom-task-hugging-face-lighteval | python, machine-learning, nlp, large-language-model, huggingface | 1,750,964,642 |
se_79328497 | stackoverflow | MACHINE_LEARNING | Why do I get AttributeError: module 'tensorflow.keras.backend' has no attribute 'placeholder' when using ART's KerasClassifier with TensorFlow 2.x? | Why do I get AttributeError: module 'tensorflow.keras.backend' has no attribute 'placeholder' when using ART's KerasClassifier with TensorFlow 2.x?
I’m trying to use the Adversarial Robustness Toolbox (ART) with a simple Keras model in TensorFlow 2.x, but I’m encountering the following error:
Attri... | https://stackoverflow.com/questions/79328497/why-do-i-get-attributeerror-module-tensorflow-keras-backend-has-no-attribute | python, tensorflow, machine-learning, tf.keras, adversarial-attack | 1,735,980,399 |
se_61223462 | stackoverflow | MACHINE_LEARNING | How does Monte Carlo Exploring Starts work? | How does Monte Carlo Exploring Starts work?
Flow Chart
I'm having trouble understanding the 4th and 5th step in the flowchart.
Am I right to say that the Q value of a particular state and action is the same as the state-action pair value of that same state and action?
For the 4th step, does 'calculate return for a st... | https://stackoverflow.com/questions/61223462/how-does-monte-carlo-exploring-starts-work | machine-learning, reinforcement-learning, montecarlo, q-learning | 1,586,935,608 |
se_59149138 | stackoverflow | MACHINE_LEARNING | How do you invert a tensor of boolean values in Pytorch? | How do you invert a tensor of boolean values in Pytorch?
With NumPy, you can do it with np.invert(array), but there's no invert function in Pytorch. Let's say I have a 2D tensor of boolean values:
import torch
ts = torch.rand((10, 4)) < .5
tensor([[ True, True, False, True],
[ True, True, True, True],
... | https://stackoverflow.com/questions/59149138/how-do-you-invert-a-tensor-of-boolean-values-in-pytorch | python, python-3.x, machine-learning, deep-learning, pytorch | 1,575,338,009 |
se_54244727 | stackoverflow | MACHINE_LEARNING | Are 3-way interactions effects possible with visreg package? | Are 3-way interactions effects possible with visreg package?
I'm trying to use the visreg package for 3-way interactions. (I am able to fit 2-way interactions as shown below with my R reproducible code).
I am wondering if it is possible to plot 3-way interactions using visreg: "year" ; "age"; "education". Using ggeff... | https://stackoverflow.com/questions/54244727/are-3-way-interactions-effects-possible-with-visreg-package | r, machine-learning | 1,547,761,391 |
se_78672059 | stackoverflow | MACHINE_LEARNING | Problems with selecting OptunaSearchCV pipeline parameters | Problems with selecting OptunaSearchCV pipeline parameters
I have a code with which I iterate over the hyperparameters of both the model itself and the entire pipeline
preprocessor = ColumnTransformer(
[
('OneHotEncoder', OneHotEncoder(drop='if_binary', sparse_output=False), binary_cols),
... | https://stackoverflow.com/questions/78672059/problems-with-selecting-optunasearchcv-pipeline-parameters | machine-learning, scikit-learn, gridsearchcv, hyperopt | 1,719,400,466 |
se_7474508 | stackoverflow | MACHINE_LEARNING | Random projection algorithm pseudo code | Random projection algorithm pseudo code
I am trying to apply Random Projections method on a very sparse dataset. I found papers and tutorials about Johnson Lindenstrauss method, but every one of them is full of equations which makes no meaningful explanation to me. For example, this document on Johnson-Lindenstrauss
... | https://stackoverflow.com/questions/7474508/random-projection-algorithm-pseudo-code | algorithm, machine-learning, multidimensional-array | 1,316,451,304 |
se_75244523 | stackoverflow | MACHINE_LEARNING | Python compare images of, piece of, clothing (identification) | Python compare images of, piece of, clothing (identification)
As an example I have two pictures with a particular type of clothing of a certain brand.
I can download a lot of different images of this same piece, and color, of clothing
I want to create a model which can recognize the item based on a picture.
I tried t... | https://stackoverflow.com/questions/75244523/python-compare-images-of-piece-of-clothing-identification | python, machine-learning, artificial-intelligence | 1,674,726,801 |
se_56134072 | stackoverflow | MACHINE_LEARNING | Random forest getting 100% score since feature selection | Random forest getting 100% score since feature selection
I have been working on a dataset. I have followed this process to predict churn:
Encoded and standardised data
Run random forest
Got a model score of 0.63
Analysed feature importances
Ran model for reduced feature set
Got a model score of 1.0 in the revised mod... | https://stackoverflow.com/questions/56134072/random-forest-getting-100-score-since-feature-selection | python, machine-learning, scikit-learn | 1,557,848,201 |
se_18820814 | stackoverflow | MACHINE_LEARNING | Trajectory Clustering: Which Clustering Method? | Trajectory Clustering: Which Clustering Method?
As a newbie in Machine Learning, I have a set of trajectories that may be of different lengths. I wish to cluster them, because some of them are actually the same path and they just SEEM different due to the noise.
In addition, not all of them are of the same lengths. ... | https://stackoverflow.com/questions/18820814/trajectory-clustering-which-clustering-method | algorithm, machine-learning, cluster-analysis, data-mining | 1,379,308,724 |
se_74600792 | stackoverflow | MACHINE_LEARNING | mlr3 properly setting up parallelization | mlr3 properly setting up parallelization
Say I have a machine with 32 cores and want to execute a nested CV of 5 outer folds and 3 inner folds as efficiently as possible.
On the outer fold, I benchmark two or more learners, on the inner fold I tune hyperparams for one or n-k of the learners.
How to set batch_size and ... | https://stackoverflow.com/questions/74600792/mlr3-properly-setting-up-parallelization | r, machine-learning, mlr3 | 1,669,639,479 |
se_79626612 | stackoverflow | MACHINE_LEARNING | The docling_core library (with smoldocling) fails to export to markdown | The docling_core library (with smoldocling) fails to export to markdown
I'm trying to extract a table from a jpeg image using Smoldocling.
The result is great in 'doctags' format, but I can't export it : I don't have any warning nor error message, only an empty output.
I followed the instructions here : https://huggin... | https://stackoverflow.com/questions/79626612/the-docling-core-library-with-smoldocling-fails-to-export-to-markdown | python, machine-learning, ocr, huggingface-transformers, onnxruntime | 1,747,490,359 |
se_79676654 | stackoverflow | MACHINE_LEARNING | Overthreading in Multiprocessing for ML models | Overthreading in Multiprocessing for ML models
The problem
I am running machine learning models in parallel using multiprocessing. When using models with parameters stating the number of threads used- num_threads, num_jobs, etc. - the code works well. Recently, I have had to use models that do not have this paramete... | https://stackoverflow.com/questions/79676654/overthreading-in-multiprocessing-for-ml-models | python, machine-learning, multiprocessing | 1,750,705,795 |
se_72262608 | stackoverflow | MACHINE_LEARNING | Steps for Machine Learning in Pytorch | Steps for Machine Learning in Pytorch
When we define our model in PyTorch. We run through different #epochs. I want to know that in the iteration of epochs.
What is the difference between the two following snippets of code in which the order is different? These two snippet versions are:
I found over tutorials
The cod... | https://stackoverflow.com/questions/72262608/steps-for-machine-learning-in-pytorch | python, machine-learning, pytorch | 1,652,718,861 |
se_79672782 | stackoverflow | MACHINE_LEARNING | What's the context limit for the Foundation Models Framework? | What's the context limit for the Foundation Models Framework?
When using the foundation models framework in iOS 26, what's the context length limit for message inputs? | https://stackoverflow.com/questions/79672782/whats-the-context-limit-for-the-foundation-models-framework | ios, machine-learning, artificial-intelligence | 1,750,382,479 |
se_79431447 | stackoverflow | MACHINE_LEARNING | Gradient Lost When Constructing a Matrix in Mitsuba 3 | Gradient Lost When Constructing a Matrix in Mitsuba 3
I am trying to optimize the absolute scale of an area light in Mitsuba 3.
I'm doing a simple toy example where I start with a scene like this:
And my target image is like this:
My loss is simply MSE between the two images.
I was able to get this to work by using ... | https://stackoverflow.com/questions/79431447/gradient-lost-when-constructing-a-matrix-in-mitsuba-3 | python, machine-learning, graphics, 3d, mitsuba-renderer | 1,739,311,815 |
se_78037608 | stackoverflow | MACHINE_LEARNING | Bee swarm plot with SHAP values for Random forest | Bee swarm plot with SHAP values for Random forest
In the code provided below I am trying to visualize the results of SHAP values of a random forest model.
The code is in R and it is shown below:
# Load necessary libraries
library(randomForest)
library(DALEX)
library(beeswarm)
data <- my_database
# Splitting the data... | https://stackoverflow.com/questions/78037608/bee-swarm-plot-with-shap-values-for-random-forest | r, machine-learning, random-forest, shap | 1,708,557,330 |
se_77537786 | stackoverflow | MACHINE_LEARNING | How do I use python version 3.7.1 in Kaggle | How do I use python version 3.7.1 in Kaggle
I'm trying to train a tensorflow ML model scripted in python version 3.7.1. However the python version in kaggle is 3.10.2. Is there any method through which I can use a python 3.7 environment and is it possible to make it the default env? | https://stackoverflow.com/questions/77537786/how-do-i-use-python-version-3-7-1-in-kaggle | python, tensorflow, machine-learning, kaggle | 1,700,750,978 |
se_49478637 | stackoverflow | MACHINE_LEARNING | Differentiate between Handwritten and Machine printed texts | Differentiate between Handwritten and Machine printed texts
Is there an effective way to detect and extract only the handwritten portions from a noisy image containing a mix of handwritten and machine-printed text?
False Bug Your post is mostly images. Add additional details to explain the problem and expected result... | https://stackoverflow.com/questions/49478637/differentiate-between-handwritten-and-machine-printed-texts | machine-learning, image-processing, computer-vision, artificial-intelligence | 1,521,998,289 |
se_79641155 | stackoverflow | MACHINE_LEARNING | CNN predicts constant values for sparse amplitude regression — can't learn true pixel values | CNN predicts constant values for sparse amplitude regression — can't learn true pixel values
I’m training a small CNN (code below) to predict sparse amplitude maps from binary masks.
Input: 60×60 image with exactly 15 pixels set to 1, rest are 0.
Target: Same size, 0 everywhere except those 15 pixels, which have... | https://stackoverflow.com/questions/79641155/cnn-predicts-constant-values-for-sparse-amplitude-regression-cant-learn-true | tensorflow, machine-learning, deep-learning, pytorch, conv-neural-network | 1,748,377,627 |
se_75241536 | stackoverflow | MACHINE_LEARNING | How to reduce high number of categorical variables from your dataset while training ML algorithm | How to reduce high number of categorical variables from your dataset while training ML algorithm
I have a dataset that has a high number of categorical variables.
For example, currently, the dataset has 37 categorical variables, now if I perform one hot encoding or any other encoding it will explode the number of colu... | https://stackoverflow.com/questions/75241536/how-to-reduce-high-number-of-categorical-variables-from-your-dataset-while-train | machine-learning, feature-selection, feature-engineering | 1,674,696,262 |
se_79659212 | stackoverflow | MACHINE_LEARNING | AttributeError: 'list' object has no attribute 'to' (samples are actually a Tensor) | AttributeError: 'list' object has no attribute 'to' (samples are actually a Tensor)
EDIT:
I'm training a model using a custom dataloader. The outcome from the dataloader is a list of tensors which cannot be processed by the main model because I have defined the sampler as samples = samples.to(device, n... | https://stackoverflow.com/questions/79659212/attributeerror-list-object-has-no-attribute-to-samples-are-actually-a-tens | python, machine-learning, pytorch, tensor, training-data | 1,749,486,826 |
se_79666939 | stackoverflow | MACHINE_LEARNING | How to improve object judgment accuracy in ASP.NET Core with CustomVision | How to improve object judgment accuracy in ASP.NET Core with CustomVision
I'm using the CustomVision in an ASP.NET Core project to judge the objects.
I trained the model with 20 dog and cat images, but the judgement result is useless.
If I present an image, this model only replies as nearly 50%:50% ratio of cat to dog... | https://stackoverflow.com/questions/79666939/how-to-improve-object-judgment-accuracy-in-asp-net-core-with-customvision | azure, machine-learning, asp.net-core-mvc, artificial-intelligence, azure-cognitive-services | 1,750,031,357 |
se_66992585 | stackoverflow | MACHINE_LEARNING | How does one use Pytorch (+ cuda) with an A100 GPU? | How does one use Pytorch (+ cuda) with an A100 GPU?
I was trying to use my current code with an A100 gpu but I get this error:
---> backend='nccl'
/home/miranda9/miniconda3/envs/metalearningpy1.7.1c10.2/lib/python3.8/site-packages/torch/cuda/__init__.py:104: UserWarning:
A100-SXM4-40GB with CUDA capability sm_80 is n... | https://stackoverflow.com/questions/66992585/how-does-one-use-pytorch-cuda-with-an-a100-gpu | python, machine-learning, neural-network, pytorch | 1,617,822,268 |
se_71206455 | stackoverflow | MACHINE_LEARNING | Wave2Lip usage and performance | Wave2Lip usage and performance
The actual Question:
Currently opencv is used to write video frames in a single file. Can you append the audio as well directly or is there some other way so you can create small video snippets which can than be broadcastet via rtp protocoll or broadcast it directly from python code?
out... | https://stackoverflow.com/questions/71206455/wave2lip-usage-and-performance | python, opencv, machine-learning, deepface, deep-fake | 1,645,447,088 |
se_42562146 | stackoverflow | MACHINE_LEARNING | Classification report with Nested Cross Validation in SKlearn (Average/Individual values) | Classification report with Nested Cross Validation in SKlearn (Average/Individual values)
Is it possible to get classification report from cross_val_score through some workaround? I'm using nested cross-validation and I can get various scores here for a model, however, I would like to see the classification report of ... | https://stackoverflow.com/questions/42562146/classification-report-with-nested-cross-validation-in-sklearn-average-individua | python, machine-learning, scikit-learn, classification, cross-validation | 1,488,476,022 |
se_79287981 | stackoverflow | MACHINE_LEARNING | Databricks MLFlow and MetaFlow integration | Databricks MLFlow and MetaFlow integration
I am using Metaflow to orchestrate the training pipeline of a machine learning model and the scope is to combine Metaflow with the Databricks MLflow for monitoring of ML. The Metaflow pipeline is pasted below with the response and the Metaflow validation.
The MLFLOW_TRACKING_... | https://stackoverflow.com/questions/79287981/databricks-mlflow-and-metaflow-integration | python-3.x, machine-learning, databricks, mlflow, netflix-metaflow | 1,734,440,521 |
se_79618223 | stackoverflow | MACHINE_LEARNING | PyTorch3D Build Fails with "Cannot open include file: 'thrust/detail/cstdint.h'" | PyTorch3D Build Fails with "Cannot open include file: 'thrust/detail/cstdint.h'"
I'm trying to build PyTorch3D from source on Windows 11 using CUDA 12.8, but the build fails with the following error during the compilation of CUDA extensions:
FAILED: D:/Project/3D_Reconstruction/src/pytorch3d/build/te... | https://stackoverflow.com/questions/79618223/pytorch3d-build-fails-with-cannot-open-include-file-thrust-detail-cstdint-h | python, machine-learning, deep-learning, pytorch, computer-vision | 1,747,065,151 |
se_79098558 | stackoverflow | MACHINE_LEARNING | Error when installing evaluate library in miniconda3 | Error when installing evaluate library in miniconda3
I've just installed a fresh miniconda3 on my computer (ubuntu 22.04) by following the instructions from the official doc.
My goal is to work with the hugging face's ecosystem with some langage models. But I get an error when installing the evaluate library.
In my sh... | https://stackoverflow.com/questions/79098558/error-when-installing-evaluate-library-in-miniconda3 | python, machine-learning, conda, huggingface, huggingface-evaluate | 1,729,175,444 |
se_78895436 | stackoverflow | MACHINE_LEARNING | Module not found error when using ScrapeGraphAI | Module not found error when using ScrapeGraphAI
I am doing a simple example using ScrapeGraphAI, found on this link ScrapeGraphAI Github.
I have installed the packages in the virtual environment, as shown in the link:
pip install scrapegraphai
playwright install
But when I run the code
from scrapegraphai.graphs impo... | https://stackoverflow.com/questions/78895436/module-not-found-error-when-using-scrapegraphai | python, machine-learning, web-scraping, artificial-intelligence | 1,724,221,923 |
se_79667331 | stackoverflow | MACHINE_LEARNING | Why does my model's accuracy drop from ~95% on my device to ~25% on Edge Impulse? | Why does my model's accuracy drop from ~95% on my device to ~25% on Edge Impulse?
I'm experiencing a significant drop in accuracy when uploading my model, dataset, and labels to Edge Impulse. The model performs with ~95% accuracy locally but only achieves ~25% accuracy in Edge Impulse.
I've ensured the following:
... | https://stackoverflow.com/questions/79667331/why-does-my-models-accuracy-drop-from-95-on-my-device-to-25-on-edge-impulse | tensorflow, machine-learning | 1,750,065,101 |
se_79662773 | stackoverflow | MACHINE_LEARNING | How to transform a S3 directory as os.Path in Python with boto3? | How to transform a S3 directory as os.Path in Python with boto3?
I want to use ImageFolder from Torchvision with an AWS S3 bucket where I have my dataset saved, however, it requires a os.Path like file and with boto3 I can just get a directory or a list which is not allowed by ImageFolder. Do you know how can I get a ... | https://stackoverflow.com/questions/79662773/how-to-transform-a-s3-directory-as-os-path-in-python-with-boto3 | python, amazon-web-services, machine-learning, amazon-s3, pytorch | 1,749,684,797 |
se_56188112 | stackoverflow | MACHINE_LEARNING | Table Detection Task (TableBank & Detectron ) : UnicodeDecodeError: 'ascii' codec can't decode byte 0x80 in position 0: ordinal not in range(128) | Table Detection Task (TableBank & Detectron ) : UnicodeDecodeError: 'ascii' codec can't decode byte 0x80 in position 0: ordinal not in range(128)
I have been trying to run a python script to test a pretrained model (ResNeXt-101) and visualize the performance of a Table Detection task proposed by TableB... | https://stackoverflow.com/questions/56188112/table-detection-task-tablebank-detectron-unicodedecodeerror-ascii-code | python, machine-learning, deep-learning, object-detection, faster-rcnn | 1,558,101,992 |
se_53956538 | stackoverflow | MACHINE_LEARNING | Calculating anomaly score for Anomaly detection using One-Class SVM | Calculating anomaly score for Anomaly detection using One-Class SVM
I have a question about Calculating anomaly score for Anomaly detection using One-Class SVM. My question is that: How can I calculate it using decision_function(X), just the way I calculate anomaly score in Isolation forest?
Thanks a lot, | https://stackoverflow.com/questions/53956538/calculating-anomaly-score-for-anomaly-detection-using-one-class-svm | machine-learning, anomaly-detection | 1,545,990,620 |
se_72725944 | stackoverflow | MACHINE_LEARNING | Create custom connection/ non-fully connected layers in Pytorch | Create custom connection/ non-fully connected layers in Pytorch
As shown in the figure, it is a 3 layer with NN, namely input layer, hidden layer and output layer. I want to design the NN(in PyTorch, just the arch) where the input to hidden layer is fully-connected. However, from hidden layer to output, the first two ... | https://stackoverflow.com/questions/72725944/create-custom-connection-non-fully-connected-layers-in-pytorch | python, machine-learning, deep-learning, neural-network, pytorch | 1,655,968,201 |
se_79657687 | stackoverflow | MACHINE_LEARNING | Future Looking Target Variables in Light GBM | Future Looking Target Variables in Light GBM
I am working on a ML model using LightGBM classifier with a task to maximise a value( PnL) for a quantitative strategy.
I am entering a trade every Monday and can hold till Friday close.
I want to create labels to maximise optimum exit within the week
I am using the target ... | https://stackoverflow.com/questions/79657687/future-looking-target-variables-in-light-gbm | machine-learning, data-science, xgboost, algorithmic-trading | 1,749,373,278 |
se_51054627 | stackoverflow | MACHINE_LEARNING | PyTorch Autograd automatic differentiation feature | PyTorch Autograd automatic differentiation feature
I am just curious to know, how does PyTorch track operations on tensors (after the .requires_grad is set as True and how does it later calculate the gradients automatically. Please help me understand the idea behind autograd. Thanks. | https://stackoverflow.com/questions/51054627/pytorch-autograd-automatic-differentiation-feature | python, machine-learning, computer-vision, pytorch | 1,530,074,320 |
se_77029483 | stackoverflow | MACHINE_LEARNING | Why do I run out of memory when training with a large dataset, but have no problems with a small dataset? | Why do I run out of memory when training with a large dataset, but have no problems with a small dataset?
I'm trying to build a keypoint detection system using Keras. I've got a UNet like model, with a series of convolutions, batch normalization, and max pooling, followed by a symmetric series of up sampling, convolut... | https://stackoverflow.com/questions/77029483/why-do-i-run-out-of-memory-when-training-with-a-large-dataset-but-have-no-probl | python, tensorflow, machine-learning, keras | 1,693,678,213 |
se_79662912 | stackoverflow | MACHINE_LEARNING | How can I improve the accuracy of my Transformer-based text classification model (news headlines)? | How can I improve the accuracy of my Transformer-based text classification model (news headlines)?
I'm training a Transformer-based text classification model from scratch using PyTorch. The goal is to classify news articles (headline + short description) into 15 classes. I'm achieving about 72–75% validation accuracy,... | https://stackoverflow.com/questions/79662912/how-can-i-improve-the-accuracy-of-my-transformer-based-text-classification-model | machine-learning, deep-learning, artificial-intelligence | 1,749,702,650 |
se_75699946 | stackoverflow | MACHINE_LEARNING | Getting error 'numpy.float64' object not iterable | Getting error 'numpy.float64' object not iterable
While executing recommend() function i am getting error at line
movies_list = sorted([enumerate(distances[0])], reverse=True, key = lambda x:x[1])[1:6]
The following is the code I tried. please suggest changes in it:
def recommend1(movie):
movie_index = new_... | https://stackoverflow.com/questions/75699946/getting-error-numpy-float64-object-not-iterable | python, pandas, list, numpy, machine-learning | 1,678,474,120 |
se_79648131 | stackoverflow | MACHINE_LEARNING | filedescriptor out of range in select() | filedescriptor out of range in select()
I am running a training job using MLflow and an MLflow recipe. In the recipe.train step, the training starts an experiment and runs for 350 epochs. After the 350 epochs are completed and I try to log the artifacts, the process gets stuck for a long time and I keep getting this e... | https://stackoverflow.com/questions/79648131/filedescriptor-out-of-range-in-select | machine-learning, deep-learning, databricks, mlflow | 1,748,833,712 |
se_70816481 | stackoverflow | MACHINE_LEARNING | IndexError: index 89 is out of bounds for axis 0 with size 89 | IndexError: index 89 is out of bounds for axis 0 with size 89
I am getting this error but I don't understand how to solve it, can anyone please help?
I am trying to run a pre-implemented project on my own text dataset. I am using CUB 200-2011 bird dataset which had initially 11788 birds images and author model has bee... | https://stackoverflow.com/questions/70816481/indexerror-index-89-is-out-of-bounds-for-axis-0-with-size-89 | python, machine-learning, deep-learning, pytorch | 1,642,880,417 |
se_79591703 | stackoverflow | MACHINE_LEARNING | SUMO RL : 'module’ object is not callable | SUMO RL : 'module’ object is not callable
When I run the following code i get error 'module' object is not callable
if __name__ == "__main__":
env_name = "4x4grid"
register_env(
env_name,
lambda _: ParallelPettingZooEnv(
sumo_rl.parallel_env(
net_file="./4x4-Lucas... | https://stackoverflow.com/questions/79591703/sumo-rl-module-object-is-not-callable | python, machine-learning, ray, sumo, rllib | 1,745,547,533 |
se_12395542 | stackoverflow | MACHINE_LEARNING | Why do we maximize variance during Principal Component Analysis? | Why do we maximize variance during Principal Component Analysis?
I'm trying to read through PCA and saw that the objective was to maximize the variance. I don't quite understand why. Any explanation of other related topics would be helpful | https://stackoverflow.com/questions/12395542/why-do-we-maximize-variance-during-principal-component-analysis | machine-learning, feature-extraction | 1,347,480,642 |
se_79657416 | stackoverflow | MACHINE_LEARNING | Loading and training data on Sagemaker with a Self-supervised pre-training model | Loading and training data on Sagemaker with a Self-supervised pre-training model
I'm testing a Self-supervise pre-training model, independently of the model I'm getting the same Error. My environment is Jupiter Labs for AWS Sagemaker, the problem comes when, using args and trying to load the data (either from an S3 bu... | https://stackoverflow.com/questions/79657416/loading-and-training-data-on-sagemaker-with-a-self-supervised-pre-training-model | python, machine-learning, amazon-s3, pytorch, amazon-sagemaker | 1,749,341,448 |
se_7047555 | stackoverflow | MACHINE_LEARNING | Using frequent itemset mining to build association rules? | Using frequent itemset mining to build association rules?
I am new to this area as well as the terminology so please feel free to suggest if I go wrong somewhere. I have two datasets like this:
Dataset 1:
A B C 0 E
A 0 C 0 0
A 0 C D E
A 0 C 0 E
The way I interpret this is at some point in time, (A,B,C,E) occurred ... | https://stackoverflow.com/questions/7047555/using-frequent-itemset-mining-to-build-association-rules | python, machine-learning, data-mining | 1,313,193,694 |
se_23030284 | stackoverflow | MACHINE_LEARNING | Content based recommender system with sklearn or numpy | Content based recommender system with sklearn or numpy
I am trying to build a content-based recommender system in python/pandas/numpy/sklearn.
Here are the matrix involved and their size:
X: n_customers * n_features (contains the features of each customer)
Y: n_customers *n_products (contains the scores given by ea... | https://stackoverflow.com/questions/23030284/content-based-recommender-system-with-sklearn-or-numpy | python, numpy, machine-learning, scikit-learn, recommendation-engine | 1,397,305,162 |
se_76083485 | stackoverflow | MACHINE_LEARNING | SHAP - instances that have more than one dimension | SHAP - instances that have more than one dimension
I am very new to SHAP and I would like to give it a try, but I am having some difficulty.
The model is already trained and seems to perform well. I then use the training data to test SHAP with. It looks like so:
var_Braeburn var_Cripps Pink var_Dazzle var_Fuji ... | https://stackoverflow.com/questions/76083485/shap-instances-that-have-more-than-one-dimension | python, machine-learning, shap | 1,682,232,547 |
se_78379820 | stackoverflow | MACHINE_LEARNING | LLM Studio fail to download model with error : unable to get local issuer certificate | LLM Studio fail to download model with error : unable to get local issuer certificate
In LLM studio, when I try to download any model, I am facing following error:
Download Failed: unable to get local issuer certificate | https://stackoverflow.com/questions/78379820/llm-studio-fail-to-download-model-with-error-unable-to-get-local-issuer-certif | javascript, python, machine-learning | 1,713,974,606 |
se_56352819 | stackoverflow | MACHINE_LEARNING | Brain js slow in string classification | Brain js slow in string classification
I'm using brain js for text classification. The problem that I face is the speed of training is incredibly slow. The below code takes 15-20 minutes to execute. I've read about a couple of simple projects which seem to face the same issue. Some of the authors do something very int... | https://stackoverflow.com/questions/56352819/brain-js-slow-in-string-classification | javascript, machine-learning, brain.js | 1,559,101,519 |
se_79381185 | stackoverflow | MACHINE_LEARNING | Is it possible to evaluate Machine Translations using Sentence BERT? | Is it possible to evaluate Machine Translations using Sentence BERT?
I'm not referring to BERTScore. BERTScore uses token-level word embeddings, you compute pairwise cosine similarity of word embeddings and obtain scores using greedy matching.
I'm referring to Sentence BERT. I.e., pure cosine similarity to compare sem... | https://stackoverflow.com/questions/79381185/is-it-possible-to-evaluate-machine-translations-using-sentence-bert | machine-learning, nlp, bert-language-model, machine-translation, sentence-similarity | 1,737,638,287 |
se_79597119 | stackoverflow | MACHINE_LEARNING | How to reduce GPU memory usage when running Stable Diffusion with HuggingFace Diffusers? | How to reduce GPU memory usage when running Stable Diffusion with HuggingFace Diffusers?
I'm trying to run Stable Diffusion using HuggingFace's diffusers library, but I keep getting CUDA out of memory errors on my RTX 3060 (12GB VRAM). I'm using the standard StableDiffusionPipeline from the "CompVis/stable-diffusion-v... | https://stackoverflow.com/questions/79597119/how-to-reduce-gpu-memory-usage-when-running-stable-diffusion-with-huggingface-di | python, machine-learning, deep-learning, pytorch, stable-diffusion | 1,745,866,176 |
se_79492869 | stackoverflow | MACHINE_LEARNING | Why is AWS SageMaker not submitting a training job when I create an estimator object? | Why is AWS SageMaker not submitting a training job when I create an estimator object?
I'm trying to submit a training job to AWS SageMaker AI API via GitHub using the HuggingFace estimator. However, every time I try to create the job, the estimator creates an object of type None and the script hangs up indefinitely. I... | https://stackoverflow.com/questions/79492869/why-is-aws-sagemaker-not-submitting-a-training-job-when-i-create-an-estimator-ob | python, amazon-web-services, machine-learning, amazon-sagemaker | 1,741,363,677 |
se_79655017 | stackoverflow | MACHINE_LEARNING | Confused about r-torch syntax | Confused about r-torch syntax
I have been trying to tackle a regression problem by training a neural network to predict a continuous variable using r-torch. My question pertains to the syntax used to achieve this.
When initializing the dataset for torch, I have to declare what 'x' and 'y' are. I understand that 'y' is... | https://stackoverflow.com/questions/79655017/confused-about-r-torch-syntax | r, machine-learning, deep-learning, neural-network, torch | 1,749,147,688 |
se_52787309 | stackoverflow | MACHINE_LEARNING | Removing nonsense words in python | Removing nonsense words in python
I want to remove nonsense words in my dataset.
I tried which I saw StackOverflow something like this:
import nltk
words = set(nltk.corpus.words.words())
sent = "Io andiamo to the beach with my amico."
" ".join(w for w in nltk.wordpunct_tokenize(sent) \
if w.lower() in words or... | https://stackoverflow.com/questions/52787309/removing-nonsense-words-in-python | python, machine-learning, nlp, nltk | 1,539,380,327 |
se_79430117 | stackoverflow | MACHINE_LEARNING | How to extract tables from a PDF and convert them into structured HTML (<table>, <tr>, <td>) while maintaining the original layout and formatting? | How to extract tables from a PDF and convert them into structured HTML (<table>, <tr>, <td>) while maintaining the original layout and formatting?
1]Original page of Doc1 contain 4 tables
1]Output .html page of Doc1 not detecting table properly,sometimes extracting text from table as plain text
2]Ori... | https://stackoverflow.com/questions/79430117/how-to-extract-tables-from-a-pdf-and-convert-them-into-structured-html-table | python, machine-learning, deep-learning, langchain, large-language-model | 1,739,280,110 |
se_70965317 | stackoverflow | MACHINE_LEARNING | How to fit column wise ordinal encoding | How to fit column wise ordinal encoding
I have a dataframe like as shown below
tdf = pd.DataFrame({'grade': np.random.choice(list('AAAD'),size=(5)),
'dash': np.random.choice(list('PPPS'),size=(5)),
'dumeel': np.random.choice(list('QWRR'),size=(5)),
'dumma': np.r... | https://stackoverflow.com/questions/70965317/how-to-fit-column-wise-ordinal-encoding | python, pandas, machine-learning, scikit-learn, deep-learning | 1,643,856,067 |
se_74608620 | stackoverflow | MACHINE_LEARNING | Apply Ordinal Encoding to an entire column | Apply Ordinal Encoding to an entire column
I'm working with a dataset of movies to run a regression and predict the gross.
But because some columns have String values, I'm doing an Ordinal Encoding before I do the split and run the regression.
One example is the column containing the movie titles(shown below):
Series_... | https://stackoverflow.com/questions/74608620/apply-ordinal-encoding-to-an-entire-column | python, pandas, dataframe, machine-learning, linear-regression | 1,669,689,867 |
se_79651091 | stackoverflow | MACHINE_LEARNING | Resolve infinite time for parquet file loading in pandas | Resolve infinite time for parquet file loading in pandas
!python -V
#%%
import pandas as pd
import pickle
from sklearn.metrics import root_mean_squared_error
from sklearn.feature_extraction import DictVectorizer
import mlflow
def read_dataframe1(filename):
df = pd.read_parquet(filename)
df['duration'] = df.t... | https://stackoverflow.com/questions/79651091/resolve-infinite-time-for-parquet-file-loading-in-pandas | python, pandas, machine-learning, parquet | 1,748,948,022 |
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