optiml.ml package

Subpackages

• optiml.ml.neural_network package
  • Submodules
    • optiml.ml.neural_network.activations module
      • Activation
      • Linear
      • ReLU
      • Tanh
      • Sigmoid
      • SoftMax
    • optiml.ml.neural_network.initializers module
      • truncated_normal()
      • glorot_normal()
      • glorot_uniform()
      • he_normal()
      • he_uniform()
    • optiml.ml.neural_network.layers module
      • Layer
      • ParamLayer
      • FullyConnected
    • optiml.ml.neural_network.losses module
      • NeuralNetworkLoss
      • MeanSquaredError
      • MeanAbsoluteError
      • BinaryCrossEntropy
      • CategoricalCrossEntropy
      • SparseCategoricalCrossEntropy
      • mean_squared_error
      • mean_absolute_error
      • binary_cross_entropy
      • categorical_cross_entropy
      • sparse_categorical_cross_entropy
    • optiml.ml.neural_network.regularizers module
      • Regularizer
      • L1
      • L2
  • Module contents
    • NeuralNetworkClassifier
      • NeuralNetworkClassifier.fit()
      • NeuralNetworkClassifier.predict()
      • NeuralNetworkClassifier.score()
      • NeuralNetworkClassifier.backward()
      • NeuralNetworkClassifier.coefs_
      • NeuralNetworkClassifier.forward()
      • NeuralNetworkClassifier.get_metadata_routing()
      • NeuralNetworkClassifier.get_params()
      • NeuralNetworkClassifier.intercepts_
      • NeuralNetworkClassifier.set_params()
      • NeuralNetworkClassifier.set_score_request()
    • NeuralNetworkRegressor
      • NeuralNetworkRegressor.fit()
      • NeuralNetworkRegressor.predict()
      • NeuralNetworkRegressor.backward()
      • NeuralNetworkRegressor.coefs_
      • NeuralNetworkRegressor.forward()
      • NeuralNetworkRegressor.get_metadata_routing()
      • NeuralNetworkRegressor.get_params()
      • NeuralNetworkRegressor.intercepts_
      • NeuralNetworkRegressor.score()
      • NeuralNetworkRegressor.set_params()
      • NeuralNetworkRegressor.set_score_request()
• optiml.ml.svm package
  • Submodules
    • optiml.ml.svm.kernels module
      • Kernel
      • LinearKernel
      • PolyKernel
      • GaussianKernel
      • LaplacianKernel
      • SigmoidKernel
    • optiml.ml.svm.losses module
      • SVMLoss
      • Hinge
      • SquaredHinge
      • EpsilonInsensitive
      • SquaredEpsilonInsensitive
      • hinge
      • squared_hinge
      • epsilon_insensitive
      • squared_epsilon_insensitive
    • optiml.ml.svm.smo module
      • SMO
      • SMOClassifier
      • SMORegression
  • Module contents
    • SVM
      • SVM.coef_
      • SVM.dual_coef_
      • SVM.intercept_
      • SVM.support_
      • SVM.support_vectors_
      • SVM.fit()
      • SVM.decision_function()
      • SVM.get_metadata_routing()
      • SVM.get_params()
      • SVM.set_params()
    • SVC
      • SVC.fit()
      • SVC.predict()
      • SVC.decision_function()
      • SVC.get_metadata_routing()
      • SVC.get_params()
      • SVC.score()
      • SVC.set_params()
      • SVC.set_score_request()
    • SVR
      • SVR.fit()
      • SVR.predict()
      • SVR.decision_function()
      • SVR.get_metadata_routing()
      • SVR.get_params()
      • SVR.score()
      • SVR.set_params()
      • SVR.set_score_request()

Submodules

• optiml.ml.utils module
  • moving_average()
  • generate_linearly_separable_data()
  • generate_linearly_separable_overlap_data()
  • generate_nonlinearly_separable_data()
  • generate_nonlinearly_regression_data()
  • generate_centred_and_normalized_regression_data()
  • plot_svm_hyperplane()
  • plot_validation_curve()
  • plot_learning_curve()
  • plot_model_loss()
  • plot_model_accuracy()

Module contents