Index A | B | C | D | F | K | L | M | P | R | S | T A activation() (datacheese.neural_networks.BaseLayer method) (datacheese.neural_networks.LeakyReLULayer method) (datacheese.neural_networks.LinearLayer method) (datacheese.neural_networks.ReLULayer method) (datacheese.neural_networks.SigmoidLayer method) (datacheese.neural_networks.TanhLayer method) activation_derivative() (datacheese.neural_networks.BaseLayer method) (datacheese.neural_networks.LeakyReLULayer method) (datacheese.neural_networks.LinearLayer method) (datacheese.neural_networks.ReLULayer method) (datacheese.neural_networks.SigmoidLayer method) (datacheese.neural_networks.TanhLayer method) add_layer() (datacheese.neural_networks.MultiLayerPerceptron method) array_mode_value() (in module datacheese.utils) assert_fitted() (in module datacheese.utils) assert_ndarray_shape() (in module datacheese.utils) assert_str_choice() (in module datacheese.utils) B back_propagate() (datacheese.neural_networks.BaseLayer method) (datacheese.neural_networks.MultiLayerPerceptron method) BaseLayer (class in datacheese.neural_networks) C conv2d() (in module datacheese.convolution) D datacheese.activations module datacheese.clustering module datacheese.convolution module datacheese.knn module datacheese.neural_networks module datacheese.processing module datacheese.regression module datacheese.utils module F feed_forward() (datacheese.neural_networks.BaseLayer method) (datacheese.neural_networks.MultiLayerPerceptron method) fit() (datacheese.clustering.KMeans method) (datacheese.knn.KNN method) (datacheese.neural_networks.MultiLayerPerceptron method) (datacheese.regression.LinearRegression method) (datacheese.regression.LogisticRegression method) K KFoldCrossValidation (class in datacheese.processing) KMeans (class in datacheese.clustering) KNN (class in datacheese.knn) L leaky_relu() (in module datacheese.activations) leaky_relu_derivative() (in module datacheese.activations) LeakyReLULayer (class in datacheese.neural_networks) LinearLayer (class in datacheese.neural_networks) LinearRegression (class in datacheese.regression) LogisticRegression (class in datacheese.regression) M module datacheese.activations datacheese.clustering datacheese.convolution datacheese.knn datacheese.neural_networks datacheese.processing datacheese.regression datacheese.utils MultiLayerPerceptron (class in datacheese.neural_networks) P pad_array() (in module datacheese.utils) pairwise_distances() (in module datacheese.utils) predict() (datacheese.clustering.KMeans method) (datacheese.knn.KNN method) (datacheese.neural_networks.BaseLayer method) (datacheese.neural_networks.MultiLayerPerceptron method) (datacheese.regression.LinearRegression method) (datacheese.regression.LogisticRegression method) predict_prob() (datacheese.regression.LogisticRegression method) R relu() (in module datacheese.activations) relu_derivative() (in module datacheese.activations) ReLULayer (class in datacheese.neural_networks) S score() (datacheese.clustering.KMeans method) (datacheese.knn.KNN method) (datacheese.regression.LinearRegression method) (datacheese.regression.LogisticRegression method) sigmoid() (in module datacheese.activations) sigmoid_derivative() (in module datacheese.activations) SigmoidLayer (class in datacheese.neural_networks) T tanh() (in module datacheese.activations) tanh_derivative() (in module datacheese.activations) TanhLayer (class in datacheese.neural_networks)