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adrianbontea/ml-experiments

By adrianbontea

Updated over 7 years ago

ML Experiments powered by Scikit-Learn and TensorFlow

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adrianbontea/ml-experiments repository overview

Experiments with various regression and classification algorithms using Scikit-Learn and TensorFlow frameworks.

Specify the experiment to run via the command line when starting a container from the image. Currently supported values:

  • data_analysis
  • preprocessing
  • models
  • binary_classification
  • multiclass_classification
  • multilabel_classification
  • multioutput_classification
  • whitebox_linear_regression
  • whitebox_polynomial_regression
  • whitebox_logistic_regression
  • svm_linear_classification
  • svm_non_linear_classification
  • svm_linear_regression
  • svm_non_linear_regression
  • decision_tree_visualization
  • decision_tree_regularization
  • decision_tree_regression
  • voting_classifier
  • bagging_pasting
  • random_forest
  • ada_boosting
  • stacking

Tag summary

Content type

Image

Digest

Size

506.6 MB

Last updated

over 7 years ago

docker pull adrianbontea/ml-experiments:1.0