SYMBOL INDEX (89 symbols across 18 files)

FILE: example.py
  function main (line 27) | def main():
  function _load_train_test_datasets (line 64) | def _load_train_test_datasets():

FILE: shapelets_lts/classification/shapelet_models.py
  class LtsShapeletClassifier (line 20) | class LtsShapeletClassifier(BaseEstimator):
    method __init__ (line 21) | def __init__(self, K=20, R=3, L_min=30, alpha=-100, eta=0.01, lamda=0....
    method set_params (line 55) | def set_params(self, **parameters):
    method fit (line 60) | def fit(self, X, y):
    method get_shapelets (line 70) | def get_shapelets(self):
    method predict (line 84) | def predict(self, X):
    method _init_network (line 94) | def _init_network(self):
    method _get_shapelets_layer (line 114) | def _get_shapelets_layer(self):
    method _create_shapelets_layer_segments_centroids (line 122) | def _create_shapelets_layer_segments_centroids(self):
    method _create_shapelets_layer_random (line 135) | def _create_shapelets_layer_random(self):
    method _train_network (line 146) | def _train_network(self):
    method _plot_loss (line 191) | def _plot_loss(self, loss, validation_acc, epocs):

FILE: shapelets_lts/network/aggregation_layer.py
  class AggregationLayer (line 5) | class AggregationLayer:
    method __init__ (line 6) | def __init__(self, layers):
    method _get_total_number_params (line 17) | def _get_total_number_params(self):
    method forward (line 23) | def forward(self, layer_input):
    method backward (line 30) | def backward(self, dL_dout):
    method get_params (line 40) | def get_params(self):
    method set_params (line 53) | def set_params(self, params):
    method update_params (line 65) | def update_params(self):
    method get_shapelets (line 70) | def get_shapelets(self):

FILE: shapelets_lts/network/cross_entropy_loss_layer.py
  class CrossEntropyLossLayer (line 6) | class CrossEntropyLossLayer:
    method __init__ (line 7) | def __init__(self, lamda, train_size):
    method set_current_target_probabilities (line 22) | def set_current_target_probabilities(self, target_probabilities):
    method set_regularized_params (line 25) | def set_regularized_params(self, regularized_params):
    method forward (line 28) | def forward(self, layer_input):
    method backward (line 39) | def backward(self, dL_dout):
    method update_params (line 45) | def update_params(self):

FILE: shapelets_lts/network/linear_layer.py
  class LinearLayer (line 7) | class LinearLayer:
    method __init__ (line 8) | def __init__(self, input_size, output_size, learning_rate, lamda, trai...
    method set_weights (line 37) | def set_weights(self, W, W_0):
    method forward (line 41) | def forward(self, layer_input):
    method backward (line 52) | def backward(self, dL_dout):
    method update_params (line 72) | def update_params(self):
    method get_dL_dparams (line 82) | def get_dL_dparams(self):
    method get_params (line 85) | def get_params(self):
    method set_params (line 93) | def set_params(self, params):

FILE: shapelets_lts/network/network.py
  class Network (line 5) | class Network:
    method __init__ (line 6) | def __init__(self):
    method add_layer (line 10) | def add_layer(self, layer, regularized=False):
    method remove_loss_layer (line 14) | def remove_loss_layer(self):
    method forward (line 18) | def forward(self, sample, target):
    method backward (line 27) | def backward(self):
    method update_params (line 32) | def update_params(self):
    method get_layers (line 36) | def get_layers(self):
    method _get_regularized_params (line 39) | def _get_regularized_params(self):

FILE: shapelets_lts/network/sigmoid_layer.py
  class SigmoidLayer (line 4) | class SigmoidLayer:
    method __init__ (line 5) | def __init__(self, input_size):
    method forward (line 15) | def forward(self, layer_input):
    method backward (line 20) | def backward(self, dL_dout):
    method update_params (line 25) | def update_params(self):

FILE: shapelets_lts/network/soft_min_layer.py
  class SoftMinLayer (line 4) | class SoftMinLayer:
    method __init__ (line 5) | def __init__(self, sequence, learning_rate=0.01, alpha=-100):
    method forward (line 30) | def forward(self, layer_input):
    method backward (line 35) | def backward(self, dL_dout):
    method dist_soft_min (line 54) | def dist_soft_min(self):
    method dist_sqr_error (line 70) | def dist_sqr_error(self, T_j):
    method get_params (line 80) | def get_params(self):
    method set_params (line 87) | def set_params(self, param):
    method update_params (line 95) | def update_params(self):
    method get_size (line 98) | def get_size(self):
    method get_shapelet (line 101) | def get_shapelet(self):

FILE: shapelets_lts/tests/test_aggregation_layer.py
  function test_forward (line 7) | def test_forward():
  function test_backward (line 22) | def test_backward():

FILE: shapelets_lts/tests/test_cross_entropy_loss_layer.py
  function test_forward (line 7) | def test_forward():
  function test_backward (line 25) | def test_backward():

FILE: shapelets_lts/tests/test_linear_layer.py
  function test_fc_layer_initialization (line 10) | def test_fc_layer_initialization():
  function test_forward (line 21) | def test_forward():
  function test_backword (line 41) | def test_backword():

FILE: shapelets_lts/tests/test_sigmoid_layer.py
  function test_forward (line 9) | def test_forward():
  function test_backward (line 21) | def test_backward():

FILE: shapelets_lts/tests/test_soft_min_layer.py
  function test_forward (line 7) | def test_forward():
  function test_backward (line 13) | def test_backward():
  function test_shapelet_dist_sqr_error (line 33) | def test_shapelet_dist_sqr_error():

FILE: shapelets_lts/tests/test_utils.py
  function test_get_centroids (line 6) | def test_get_centroids():
  function test_segment_dataset (line 18) | def test_segment_dataset():
  function test_get_centroids_of_segments (line 29) | def test_get_centroids_of_segments():

FILE: shapelets_lts/util/plotting.py
  function plot_sample_shapelets (line 9) | def plot_sample_shapelets(shapelets, sample_size=1e6):

FILE: shapelets_lts/util/soft_min_layer_factory.py
  function create_soft_min_layers (line 6) | def create_soft_min_layers(sizes):

FILE: shapelets_lts/util/ucr_dataset_loader.py
  function load_dataset (line 6) | def load_dataset(dataset_name, dataset_folder):

FILE: shapelets_lts/util/utils.py
  function approximate_derivative_wrt_inputs (line 7) | def approximate_derivative_wrt_inputs(function, inputs, n_outputs, h):
  function approximate_derivative_wrt_params (line 27) | def approximate_derivative_wrt_params(layer, inputs, n_outputs, h):
  function sigmoid (line 50) | def sigmoid(X):
  function get_one_active_representation (line 54) | def get_one_active_representation(labels):
  function get_centroids_of_segments (line 62) | def get_centroids_of_segments(data, L, K):
  function segment_dataset (line 75) | def segment_dataset(data, L):
  function get_centroids (line 94) | def get_centroids(data, k):