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--- |
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{} |
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--- |
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# UCI Adult Data Analysis model using Tensorflow |
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**Version:** 0.1 |
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**Short Description:** UCI Adult Data analysis using Tensorflow for demonstration of Patra Model Cards. |
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**Full Description:** We have trained a ML model using the tensorflow framework to predict income for the UCI Adult Dataset. We leverage this data to run the Patra model cards to capture metadata about the model as well as fairness and explainability metrics. |
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**Keywords:** uci adult, tensorflow, explainability, fairness, patra |
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**Author:** Your Name |
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**Input Type:** Tabular |
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**Category:** classification |
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**Foundational Model:** None |
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**Input Data:** https://archive.ics.uci.edu/ml/datasets/adult |
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**Output Data:** https://github.iu.edu/d2i/dockerhub/tensorflow/adult_modelv01 |
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## AI Model |
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**Name:** Income prediction tensorflow model |
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**Version:** 0.1 |
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**Description:** Census classification problem using TensorFlow Neural Network using the UCI Adult Dataset |
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**Owner:** Your Name or Organization |
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**Location:** https://example.com/path-to-model |
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**License:** BSD-3 Clause |
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**Framework:** tensorflow |
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**Model Type:** dnn |
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**Test Accuracy:** 0.7919545769691467 |
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### Model Structure |
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```json |
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{ |
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"module": "keras", |
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"class_name": "Sequential", |
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"config": { |
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"name": "sequential", |
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"trainable": true, |
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"dtype": { |
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"module": "keras", |
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"class_name": "DTypePolicy", |
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"config": { |
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"name": "float32" |
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} |
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}, |
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"layers": [ |
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{ |
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"module": "keras.layers", |
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"class_name": "InputLayer", |
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"config": { |
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"batch_shape": [ |
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100 |
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], |
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"dtype": "float32", |
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"sparse": false, |
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"name": "input_layer" |
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} |
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}, |
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{ |
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"module": "keras.layers", |
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"class_name": "Dense", |
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"config": { |
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"name": "dense", |
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"trainable": true, |
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"dtype": { |
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"module": "keras", |
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"class_name": "DTypePolicy", |
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"config": { |
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"name": "float32" |
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} |
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}, |
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"units": 64, |
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"activation": "relu", |
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"use_bias": true, |
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"kernel_initializer": { |
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"module": "keras.initializers", |
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"class_name": "GlorotUniform", |
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"config": {} |
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}, |
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"bias_initializer": { |
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"module": "keras.initializers", |
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"class_name": "Zeros", |
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"config": {} |
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} |
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}, |
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"build_config": { |
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"input_shape": [ |
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100 |
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] |
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} |
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}, |
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{ |
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"module": "keras.layers", |
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"class_name": "Dense", |
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"config": { |
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"name": "dense_1", |
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"trainable": true, |
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"dtype": { |
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"module": "keras", |
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"class_name": "DTypePolicy", |
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"config": { |
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"name": "float32" |
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} |
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}, |
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"units": 128, |
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"activation": "relu", |
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"use_bias": true, |
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"kernel_initializer": { |
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"module": "keras.initializers", |
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"class_name": "GlorotUniform", |
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"config": {} |
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}, |
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"bias_initializer": { |
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"module": "keras.initializers", |
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"class_name": "Zeros", |
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"config": {} |
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} |
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}, |
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"build_config": { |
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"input_shape": [ |
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64 |
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] |
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} |
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}, |
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{ |
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"module": "keras.layers", |
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"class_name": "Dense", |
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"config": { |
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"name": "dense_2", |
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"trainable": true, |
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"dtype": { |
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"module": "keras", |
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"class_name": "DTypePolicy", |
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"config": { |
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"name": "float32" |
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} |
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}, |
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"units": 64, |
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"activation": "relu", |
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"use_bias": true, |
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"kernel_initializer": { |
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"module": "keras.initializers", |
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"class_name": "GlorotUniform", |
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"config": {} |
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}, |
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"bias_initializer": { |
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"module": "keras.initializers", |
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"class_name": "Zeros", |
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"config": {} |
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} |
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}, |
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"build_config": { |
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"input_shape": [ |
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128 |
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] |
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} |
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}, |
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{ |
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"module": "keras.layers", |
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"class_name": "Dense", |
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"config": { |
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"name": "dense_3", |
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"trainable": true, |
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"dtype": { |
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"module": "keras", |
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"class_name": "DTypePolicy", |
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"config": { |
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"name": "float32" |
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} |
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}, |
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"units": 1, |
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"activation": "sigmoid", |
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"use_bias": true, |
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"kernel_initializer": { |
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"module": "keras.initializers", |
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"class_name": "GlorotUniform", |
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"config": {} |
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}, |
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"bias_initializer": { |
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"module": "keras.initializers", |
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"class_name": "Zeros", |
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"config": {} |
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} |
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}, |
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"build_config": { |
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"input_shape": [ |
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64 |
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] |
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} |
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} |
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], |
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"build_input_shape": [ |
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100 |
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] |
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}, |
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"build_config": { |
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"input_shape": [ |
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100 |
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] |
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}, |
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"compile_config": { |
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"optimizer": { |
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"module": "keras.optimizers", |
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"class_name": "Adam", |
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"config": { |
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"name": "adam", |
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"learning_rate": 0.0010000000474974513, |
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"use_ema": false, |
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"ema_momentum": 0.99, |
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"beta_1": 0.9, |
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"beta_2": 0.999, |
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"epsilon": 1e-07, |
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"amsgrad": false |
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} |
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}, |
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"loss": "binary_crossentropy", |
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"metrics": [ |
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"accuracy" |
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], |
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"run_eagerly": false, |
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"steps_per_execution": 1, |
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"jit_compile": false |
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} |
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} |
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``` |
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### Metrics |
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- **Test loss:** 0.5084354877471924 |
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- **Epochs:** 100 |
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- **Batch Size:** 32 |
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- **Optimizer:** Adam |
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- **Learning Rate:** 0.001 |
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- **Input Shape:** (26048, 100) |
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## Bias Analysis |
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- **demographic_parity_diff:** 0.032400848225782965 |
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- **equal_odds_difference:** 0.03417438108252019 |
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## Explainability Analysis |
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- **capital_gain:** 0.14158532669974697 |
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- **fnlwgt:** 0.015681726452377108 |
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- **age:** 0.00021690960559580313 |
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- **hours_per_week:** 0.00013091093136204657 |
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- **relationship__Not_in_family:** 7.917947239345974e-05 |
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- **marital_status__Married_civ_spouse:** 7.522924906677672e-05 |
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- **education__HS_grad:** 5.9253134661254366e-05 |
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- **occupation__Exec_managerial:** 5.8465765582191924e-05 |
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- **marital_status__Never_married:** 2.9966458678243015e-05 |
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- **education_num:** 2.848242719968154e-05 |
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## Model Requirements |
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- absl-py==1.4.0 |
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- accelerate==1.2.1 |
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- aiohappyeyeballs==2.4.4 |
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- aiohttp==3.11.11 |
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- aiosignal==1.3.2 |
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- alabaster==1.0.0 |
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- albucore==0.0.19 |
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- albumentations==1.4.20 |
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- ale-py==0.10.1 |
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- altair==5.5.0 |
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- annotated-types==0.7.0 |
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- anyio==3.7.1 |
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- argon2-cffi-bindings==21.2.0 |
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- argon2-cffi==23.1.0 |
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- array-record==0.6.0 |
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- arviz==0.20.0 |
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- astropy-iers-data==0.2025.1.27.0.32.44 |
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- astropy==6.1.7 |
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- astunparse==1.6.3 |
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- atpublic==4.1.0 |
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- attrs==25.1.0 |
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- audioread==3.0.1 |
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- autocommand==2.2.2 |
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- autograd==1.7.0 |
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- babel==2.16.0 |
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- backcall==0.2.0 |
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- backports.tarfile==1.2.0 |
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- beautifulsoup4==4.12.3 |
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- bigframes==1.33.0 |
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- bigquery-magics==0.5.0 |
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- bleach==6.2.0 |
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- blinker==1.9.0 |
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- blis==0.7.11 |
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- blosc2==3.0.0 |
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- bokeh==3.6.2 |
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- bottleneck==1.4.2 |
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- bqplot==0.12.44 |
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- branca==0.8.1 |
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- cachecontrol==0.14.2 |
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- cachetools==5.5.1 |
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- catalogue==2.0.10 |
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- certifi==2024.12.14 |
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- cffi==1.17.1 |
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- chardet==5.2.0 |
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- charset-normalizer==3.4.1 |
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- chex==0.1.88 |
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- clarabel==0.9.0 |
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- click==8.1.8 |
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- cloudpathlib==0.20.0 |
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- cloudpickle==3.1.1 |
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- cmake==3.31.4 |
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- cmdstanpy==1.2.5 |
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- colorcet==3.1.0 |
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- colorlover==0.3.0 |
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- colour==0.1.5 |
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- community==1.0.0b1 |
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- confection==0.1.5 |
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- cons==0.4.6 |
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- contourpy==1.3.1 |
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- cramjam==2.9.1 |
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- cryptography==43.0.3 |
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- cuda-python==12.6.0 |
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- cudf-cu12==24.12.0 |
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- cufflinks==0.17.3 |
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- cupy-cuda12x==13.3.0 |
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- cvxopt==1.3.2 |
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- cvxpy==1.6.0 |
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- cycler==0.12.1 |
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- cyipopt==1.5.0 |
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- cymem==2.0.11 |
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- cython==3.0.11 |
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- dask==2024.10.0 |
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- datascience==0.17.6 |
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- db-dtypes==1.4.0 |
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- dbus-python==1.2.18 |
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- debugpy==1.8.0 |
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- decorator==4.4.2 |
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- defusedxml==0.7.1 |
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- deprecated==1.2.18 |
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- diffusers==0.32.2 |
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- distro==1.9.0 |
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- dlib==19.24.2 |
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- dm-tree==0.1.8 |
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- docker-pycreds==0.4.0 |
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- docstring-parser==0.16 |
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- docutils==0.21.2 |
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- dopamine-rl==4.1.2 |
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- duckdb==1.1.3 |
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- earthengine-api==1.4.6 |
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- easydict==1.13 |
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- editdistance==0.8.1 |
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- eerepr==0.1.0 |
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- einops==0.8.0 |
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- en-core-web-sm==3.7.1 |
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- entrypoints==0.4 |
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- et-xmlfile==2.0.0 |
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- etils==1.11.0 |
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- etuples==0.3.9 |
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- eval-type-backport==0.2.2 |
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- farama-notifications==0.0.4 |
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- fastai==2.7.18 |
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- fastcore==1.7.28 |
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- fastdownload==0.0.7 |
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- fastjsonschema==2.21.1 |
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- fastprogress==1.0.3 |
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- fastrlock==0.8.3 |
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- filelock==3.17.0 |
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- firebase-admin==6.6.0 |
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- flask==3.1.0 |
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- flatbuffers==25.1.24 |
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- flax==0.10.2 |
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- folium==0.19.4 |
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- fonttools==4.55.6 |
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- frozendict==2.4.6 |
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- frozenlist==1.5.0 |
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- fsspec==2024.10.0 |
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- future==1.0.0 |
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- gast==0.6.0 |
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- gcsfs==2024.10.0 |
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- gdal==3.6.4 |
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- gdown==5.2.0 |
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- geemap==0.35.1 |
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- gensim==4.3.3 |
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- geocoder==1.38.1 |
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- geographiclib==2.0 |
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- geopandas==1.0.1 |
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- geopy==2.4.1 |
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- gin-config==0.5.0 |
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- gitdb==4.0.12 |
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- gitpython==3.1.44 |
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- glob2==0.7 |
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- google-ai-generativelanguage==0.6.15 |
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- google-api-core==2.19.2 |
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|
- google-api-python-client==2.155.0 |
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- google-auth-httplib2==0.2.0 |
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|
- google-auth-oauthlib==1.2.1 |
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|
- google-auth==2.27.0 |
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|
- google-cloud-aiplatform==1.74.0 |
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- google-cloud-bigquery-connection==1.17.0 |
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|
- google-cloud-bigquery-storage==2.27.0 |
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|
- google-cloud-bigquery==3.25.0 |
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|
- google-cloud-bigtable==2.28.1 |
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|
- google-cloud-core==2.4.1 |
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|
- google-cloud-datastore==2.20.2 |
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|
- google-cloud-firestore==2.19.0 |
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|
- google-cloud-functions==1.19.0 |
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|
- google-cloud-iam==2.17.0 |
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|
- google-cloud-language==2.16.0 |
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|
- google-cloud-pubsub==2.25.0 |
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|
- google-cloud-resource-manager==1.14.0 |
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|
- google-cloud-spanner==3.51.0 |
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|
- google-cloud-storage==2.19.0 |
|
|
- google-cloud-translate==3.19.0 |
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|
- google-colab==1.0.0 |
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|
- google-crc32c==1.6.0 |
|
|
- google-genai==0.3.0 |
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|
- google-generativeai==0.8.4 |
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|
- google-pasta==0.2.0 |
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|
- google-resumable-media==2.7.2 |
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|
- google==2.0.3 |
|
|
- googleapis-common-protos==1.66.0 |
|
|
- googledrivedownloader==0.4 |
|
|
- graphviz==0.20.3 |
|
|
- greenlet==3.1.1 |
|
|
- grpc-google-iam-v1==0.14.0 |
|
|
- grpc-interceptor==0.15.4 |
|
|
- grpcio-status==1.62.3 |
|
|
- grpcio==1.70.0 |
|
|
- gspread-dataframe==4.0.0 |
|
|
- gspread==6.1.4 |
|
|
- gym-notices==0.0.8 |
|
|
- gym==0.25.2 |
|
|
- gymnasium==1.0.0 |
|
|
- h11==0.14.0 |
|
|
- h5netcdf==1.5.0 |
|
|
- h5py==3.12.1 |
|
|
- highspy==1.9.0 |
|
|
- holidays==0.65 |
|
|
- holoviews==1.20.0 |
|
|
- html5lib==1.1 |
|
|
- httpcore==1.0.7 |
|
|
- httpimport==1.4.0 |
|
|
- httplib2==0.22.0 |
|
|
- httpx==0.28.1 |
|
|
- huggingface-hub==0.27.1 |
|
|
- humanize==4.11.0 |
|
|
- hyperopt==0.2.7 |
|
|
- ibis-framework==9.2.0 |
|
|
- idna==3.10 |
|
|
- imageio-ffmpeg==0.6.0 |
|
|
- imageio==2.36.1 |
|
|
- imagesize==1.4.1 |
|
|
- imbalanced-learn==0.13.0 |
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|
- imgaug==0.4.0 |
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|
- immutabledict==4.2.1 |
|
|
- importlib-metadata==8.6.1 |
|
|
- importlib-resources==6.5.2 |
|
|
- imutils==0.5.4 |
|
|
- inflect==7.5.0 |
|
|
- iniconfig==2.0.0 |
|
|
- intel-cmplr-lib-ur==2025.0.4 |
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|
- intel-openmp==2025.0.4 |
|
|
- ipyevents==2.0.2 |
|
|
- ipyfilechooser==0.6.0 |
|
|
- ipykernel==5.5.6 |
|
|
- ipyleaflet==0.19.2 |
|
|
- ipyparallel==8.8.0 |
|
|
- ipython-genutils==0.2.0 |
|
|
- ipython-sql==0.5.0 |
|
|
- ipython==7.34.0 |
|
|
- ipytree==0.2.2 |
|
|
- ipywidgets==7.7.1 |
|
|
- itsdangerous==2.2.0 |
|
|
- jaraco.collections==5.1.0 |
|
|
- jaraco.context==5.3.0 |
|
|
- jaraco.functools==4.0.1 |
|
|
- jaraco.text==3.12.1 |
|
|
- jax-cuda12-pjrt==0.4.33 |
|
|
- jax-cuda12-plugin==0.4.33 |
|
|
- jax==0.4.33 |
|
|
- jaxlib==0.4.33 |
|
|
- jeepney==0.7.1 |
|
|
- jellyfish==1.1.0 |
|
|
- jieba==0.42.1 |
|
|
- jinja2==3.1.5 |
|
|
- jiter==0.8.2 |
|
|
- joblib==1.4.2 |
|
|
- jsonpatch==1.33 |
|
|
- jsonpickle==4.0.1 |
|
|
- jsonpointer==3.0.0 |
|
|
- jsonschema-specifications==2024.10.1 |
|
|
- jsonschema==4.23.0 |
|
|
- jupyter-client==6.1.12 |
|
|
- jupyter-console==6.1.0 |
|
|
- jupyter-core==5.7.2 |
|
|
- jupyter-leaflet==0.19.2 |
|
|
- jupyter-server==1.24.0 |
|
|
- jupyterlab-pygments==0.3.0 |
|
|
- jupyterlab-widgets==3.0.13 |
|
|
- kaggle==1.6.17 |
|
|
- kagglehub==0.3.6 |
|
|
- keras==3.8.0 |
|
|
- keyring==23.5.0 |
|
|
- kiwisolver==1.4.8 |
|
|
- langchain-core==0.3.31 |
|
|
- langchain-text-splitters==0.3.5 |
|
|
- langchain==0.3.15 |
|
|
- langcodes==3.5.0 |
|
|
- langsmith==0.3.1 |
|
|
- language-data==1.3.0 |
|
|
- launchpadlib==1.10.16 |
|
|
- lazr.restfulclient==0.14.4 |
|
|
- lazr.uri==1.0.6 |
|
|
- lazy-loader==0.4 |
|
|
- libclang==18.1.1 |
|
|
- libcudf-cu12==24.12.0 |
|
|
- libkvikio-cu12==24.12.1 |
|
|
- librosa==0.10.2.post1 |
|
|
- lightgbm==4.5.0 |
|
|
- linkify-it-py==2.0.3 |
|
|
- llvmlite==0.43.0 |
|
|
- locket==1.0.0 |
|
|
- logical-unification==0.4.6 |
|
|
- lxml==5.3.0 |
|
|
- marisa-trie==1.2.1 |
|
|
- markdown-it-py==3.0.0 |
|
|
- markdown==3.7 |
|
|
- markupsafe==3.0.2 |
|
|
- matplotlib-inline==0.1.7 |
|
|
- matplotlib-venn==1.1.1 |
|
|
- matplotlib==3.10.0 |
|
|
- mdit-py-plugins==0.4.2 |
|
|
- mdurl==0.1.2 |
|
|
- minikanren==1.0.3 |
|
|
- missingno==0.5.2 |
|
|
- mistune==3.1.0 |
|
|
- mizani==0.13.1 |
|
|
- mkl==2025.0.1 |
|
|
- ml-dtypes==0.4.1 |
|
|
- mlxtend==0.23.4 |
|
|
- more-itertools==10.5.0 |
|
|
- moviepy==1.0.3 |
|
|
- mpmath==1.3.0 |
|
|
- msgpack==1.1.0 |
|
|
- multidict==6.1.0 |
|
|
- multipledispatch==1.0.0 |
|
|
- multitasking==0.0.11 |
|
|
- murmurhash==1.0.12 |
|
|
- music21==9.3.0 |
|
|
- namex==0.0.8 |
|
|
- narwhals==1.24.0 |
|
|
- natsort==8.4.0 |
|
|
- nbclassic==1.2.0 |
|
|
- nbclient==0.10.2 |
|
|
- nbconvert==7.16.5 |
|
|
- nbformat==5.10.4 |
|
|
- ndindex==1.9.2 |
|
|
- nest-asyncio==1.6.0 |
|
|
- networkx==3.4.2 |
|
|
- nibabel==5.3.2 |
|
|
- nltk==3.9.1 |
|
|
- notebook-shim==0.2.4 |
|
|
- notebook==6.5.5 |
|
|
- numba-cuda==0.0.17.1 |
|
|
- numba==0.60.0 |
|
|
- numexpr==2.10.2 |
|
|
- numpy==1.26.4 |
|
|
- nvidia-cublas-cu12==12.5.3.2 |
|
|
- nvidia-cuda-cupti-cu12==12.5.82 |
|
|
- nvidia-cuda-nvcc-cu12==12.5.82 |
|
|
- nvidia-cuda-nvrtc-cu12==12.5.82 |
|
|
- nvidia-cuda-runtime-cu12==12.5.82 |
|
|
- nvidia-cudnn-cu12==9.3.0.75 |
|
|
- nvidia-cufft-cu12==11.2.3.61 |
|
|
- nvidia-curand-cu12==10.3.6.82 |
|
|
- nvidia-cusolver-cu12==11.6.3.83 |
|
|
- nvidia-cusparse-cu12==12.5.1.3 |
|
|
- nvidia-nccl-cu12==2.21.5 |
|
|
- nvidia-nvcomp-cu12==4.1.0.6 |
|
|
- nvidia-nvjitlink-cu12==12.5.82 |
|
|
- nvidia-nvtx-cu12==12.4.127 |
|
|
- nvtx==0.2.10 |
|
|
- nx-cugraph-cu12==24.12.0 |
|
|
- oauth2client==4.1.3 |
|
|
- oauthlib==3.2.2 |
|
|
- openai==1.59.9 |
|
|
- opencv-contrib-python==4.10.0.84 |
|
|
- opencv-python-headless==4.11.0.86 |
|
|
- opencv-python==4.10.0.84 |
|
|
- openpyxl==3.1.5 |
|
|
- opentelemetry-api==1.16.0 |
|
|
- opentelemetry-sdk==1.16.0 |
|
|
- opentelemetry-semantic-conventions==0.37b0 |
|
|
- opt-einsum==3.4.0 |
|
|
- optax==0.2.4 |
|
|
- optree==0.14.0 |
|
|
- orbax-checkpoint==0.6.4 |
|
|
- orjson==3.10.15 |
|
|
- osqp==0.6.7.post3 |
|
|
- packaging==24.2 |
|
|
- pandas-datareader==0.10.0 |
|
|
- pandas-gbq==0.26.1 |
|
|
- pandas-stubs==2.2.2.240909 |
|
|
- pandas==2.2.2 |
|
|
- pandocfilters==1.5.1 |
|
|
- panel==1.6.0 |
|
|
- param==2.2.0 |
|
|
- parso==0.8.4 |
|
|
- parsy==2.1 |
|
|
- partd==1.4.2 |
|
|
- pathlib==1.0.1 |
|
|
- patra-toolkit==0.1.2 |
|
|
- patsy==1.0.1 |
|
|
- peewee==3.17.8 |
|
|
- peft==0.14.0 |
|
|
- pexpect==4.9.0 |
|
|
- pickleshare==0.7.5 |
|
|
- pillow==11.1.0 |
|
|
- pip==24.1.2 |
|
|
- platformdirs==4.3.6 |
|
|
- plotly==5.24.1 |
|
|
- plotnine==0.14.5 |
|
|
- pluggy==1.5.0 |
|
|
- ply==3.11 |
|
|
- polars==1.9.0 |
|
|
- pooch==1.8.2 |
|
|
- portpicker==1.5.2 |
|
|
- preshed==3.0.9 |
|
|
- prettytable==3.13.0 |
|
|
- proglog==0.1.10 |
|
|
- progressbar2==4.5.0 |
|
|
- prometheus-client==0.21.1 |
|
|
- promise==2.3 |
|
|
- prompt-toolkit==3.0.50 |
|
|
- propcache==0.2.1 |
|
|
- prophet==1.1.6 |
|
|
- proto-plus==1.25.0 |
|
|
- protobuf==4.25.6 |
|
|
- psutil==5.9.5 |
|
|
- psycopg2==2.9.10 |
|
|
- ptyprocess==0.7.0 |
|
|
- py-cpuinfo==9.0.0 |
|
|
- py4j==0.10.9.7 |
|
|
- pyarrow==17.0.0 |
|
|
- pyasn1-modules==0.4.1 |
|
|
- pyasn1==0.6.1 |
|
|
- pycocotools==2.0.8 |
|
|
- pycparser==2.22 |
|
|
- pydantic-core==2.27.2 |
|
|
- pydantic==2.10.6 |
|
|
- pydata-google-auth==1.9.1 |
|
|
- pydot==3.0.4 |
|
|
- pydotplus==2.0.2 |
|
|
- pydrive2==1.21.3 |
|
|
- pydrive==1.3.1 |
|
|
- pyerfa==2.0.1.5 |
|
|
- pygame==2.6.1 |
|
|
- pygit2==1.16.0 |
|
|
- pygments==2.18.0 |
|
|
- pygobject==3.42.1 |
|
|
- pyjwt==2.10.1 |
|
|
- pylibcudf-cu12==24.12.0 |
|
|
- pylibcugraph-cu12==24.12.0 |
|
|
- pylibraft-cu12==24.12.0 |
|
|
- pymc==5.19.1 |
|
|
- pymystem3==0.2.0 |
|
|
- pynvjitlink-cu12==0.4.0 |
|
|
- pyogrio==0.10.0 |
|
|
- pyomo==6.8.2 |
|
|
- pyopengl==3.1.9 |
|
|
- pyopenssl==24.2.1 |
|
|
- pyparsing==3.2.1 |
|
|
- pyperclip==1.9.0 |
|
|
- pyproj==3.7.0 |
|
|
- pyshp==2.3.1 |
|
|
- pysocks==1.7.1 |
|
|
- pyspark==3.5.4 |
|
|
- pytensor==2.26.4 |
|
|
- pytest==8.3.4 |
|
|
- python-apt==0.0.0 |
|
|
- python-box==7.3.2 |
|
|
- python-dateutil==2.8.2 |
|
|
- python-louvain==0.16 |
|
|
- python-slugify==8.0.4 |
|
|
- python-snappy==0.7.3 |
|
|
- python-utils==3.9.1 |
|
|
- pytz==2024.2 |
|
|
- pyviz-comms==3.0.4 |
|
|
- pyyaml==6.0.2 |
|
|
- pyzmq==24.0.1 |
|
|
- qdldl==0.1.7.post5 |
|
|
- ratelim==0.1.6 |
|
|
- referencing==0.36.2 |
|
|
- regex==2024.11.6 |
|
|
- requests-oauthlib==1.3.1 |
|
|
- requests-toolbelt==1.0.0 |
|
|
- requests==2.32.3 |
|
|
- requirements-parser==0.9.0 |
|
|
- rich==13.9.4 |
|
|
- rmm-cu12==24.12.1 |
|
|
- rpds-py==0.22.3 |
|
|
- rpy2==3.4.2 |
|
|
- rsa==4.9 |
|
|
- safetensors==0.5.2 |
|
|
- scikit-image==0.25.1 |
|
|
- scikit-learn==1.6.1 |
|
|
- scipy==1.13.1 |
|
|
- scooby==0.10.0 |
|
|
- scs==3.2.7.post2 |
|
|
- seaborn==0.13.2 |
|
|
- secretstorage==3.3.1 |
|
|
- send2trash==1.8.3 |
|
|
- sentence-transformers==3.3.1 |
|
|
- sentencepiece==0.2.0 |
|
|
- sentry-sdk==2.20.0 |
|
|
- setproctitle==1.3.4 |
|
|
- setuptools==75.1.0 |
|
|
- shapely==2.0.6 |
|
|
- shellingham==1.5.4 |
|
|
- simple-parsing==0.1.7 |
|
|
- six==1.17.0 |
|
|
- sklearn-compat==0.1.3 |
|
|
- sklearn-pandas==2.2.0 |
|
|
- slicer==0.0.8 |
|
|
- smart-open==7.1.0 |
|
|
- smmap==5.0.2 |
|
|
- sniffio==1.3.1 |
|
|
- snowballstemmer==2.2.0 |
|
|
- soundfile==0.13.1 |
|
|
- soupsieve==2.6 |
|
|
- soxr==0.5.0.post1 |
|
|
- spacy-legacy==3.0.12 |
|
|
- spacy-loggers==1.0.5 |
|
|
- spacy==3.7.5 |
|
|
- spanner-graph-notebook==1.0.9 |
|
|
- sphinx==8.1.3 |
|
|
- sphinxcontrib-applehelp==2.0.0 |
|
|
- sphinxcontrib-devhelp==2.0.0 |
|
|
- sphinxcontrib-htmlhelp==2.1.0 |
|
|
- sphinxcontrib-jsmath==1.0.1 |
|
|
- sphinxcontrib-qthelp==2.0.0 |
|
|
- sphinxcontrib-serializinghtml==2.0.0 |
|
|
- sqlalchemy==2.0.37 |
|
|
- sqlglot==25.6.1 |
|
|
- sqlparse==0.5.3 |
|
|
- srsly==2.5.1 |
|
|
- stanio==0.5.1 |
|
|
- statsmodels==0.14.4 |
|
|
- stringzilla==3.11.3 |
|
|
- sympy==1.13.1 |
|
|
- tables==3.10.2 |
|
|
- tabulate==0.9.0 |
|
|
- tbb==2022.0.0 |
|
|
- tcmlib==1.2.0 |
|
|
- tenacity==9.0.0 |
|
|
- tensorboard-data-server==0.7.2 |
|
|
- tensorboard==2.18.0 |
|
|
- tensorflow-datasets==4.9.7 |
|
|
- tensorflow-hub==0.16.1 |
|
|
- tensorflow-io-gcs-filesystem==0.37.1 |
|
|
- tensorflow-metadata==1.16.1 |
|
|
- tensorflow-probability==0.24.0 |
|
|
- tensorflow==2.18.0 |
|
|
- tensorstore==0.1.71 |
|
|
- termcolor==2.5.0 |
|
|
- terminado==0.18.1 |
|
|
- text-unidecode==1.3 |
|
|
- textblob==0.17.1 |
|
|
- tf-keras==2.18.0 |
|
|
- tf-slim==1.1.0 |
|
|
- thinc==8.2.5 |
|
|
- threadpoolctl==3.5.0 |
|
|
- tifffile==2025.1.10 |
|
|
- timm==1.0.14 |
|
|
- tinycss2==1.4.0 |
|
|
- tokenizers==0.21.0 |
|
|
- toml==0.10.2 |
|
|
- tomli==2.0.1 |
|
|
- toolz==0.12.1 |
|
|
- torch==2.5.1+cu124 |
|
|
- torchaudio==2.5.1+cu124 |
|
|
- torchsummary==1.5.1 |
|
|
- torchvision==0.20.1+cu124 |
|
|
- tornado==6.3.3 |
|
|
- tqdm==4.67.1 |
|
|
- traitlets==5.7.1 |
|
|
- traittypes==0.2.1 |
|
|
- transformers==4.47.1 |
|
|
- triton==3.1.0 |
|
|
- tweepy==4.14.0 |
|
|
- typeguard==4.4.1 |
|
|
- typer==0.15.1 |
|
|
- types-pytz==2024.2.0.20241221 |
|
|
- types-setuptools==75.8.0.20250110 |
|
|
- typing-extensions==4.12.2 |
|
|
- tzdata==2025.1 |
|
|
- tzlocal==5.2 |
|
|
- uc-micro-py==1.0.3 |
|
|
- umf==0.9.1 |
|
|
- uritemplate==4.1.1 |
|
|
- urllib3==2.3.0 |
|
|
- vega-datasets==0.9.0 |
|
|
- wadllib==1.3.6 |
|
|
- wandb==0.19.4 |
|
|
- wasabi==1.1.3 |
|
|
- wcwidth==0.2.13 |
|
|
- weasel==0.4.1 |
|
|
- webcolors==24.11.1 |
|
|
- webencodings==0.5.1 |
|
|
- websocket-client==1.8.0 |
|
|
- websockets==14.2 |
|
|
- werkzeug==3.1.3 |
|
|
- wheel==0.45.1 |
|
|
- widgetsnbextension==3.6.10 |
|
|
- wordcloud==1.9.4 |
|
|
- wrapt==1.17.2 |
|
|
- xarray-einstats==0.8.0 |
|
|
- xarray==2025.1.1 |
|
|
- xgboost==2.1.3 |
|
|
- xlrd==2.0.1 |
|
|
- xyzservices==2025.1.0 |
|
|
- yarl==1.18.3 |
|
|
- yellowbrick==1.5 |
|
|
- yfinance==0.2.52 |
|
|
- zipp==3.21.0 |
|
|
- zstandard==0.23.0 |
|
|
|
|
|
|
