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Functions1,905 in github.com/lazyprogrammer/machine_learning_examples

⨍ Functions 1,905◇ Types & classes 254↳ Endpoints 4

↓ 3 callersMethodget_state

(self)

rl/tic_tac_toe.py:156

↓ 3 callersMethodget_state_sequence

(self, x)

hmm_class/hmmc.py:194

↓ 3 callersFunctionimread

(fn)

unsupervised_class3/util.py:20

↓ 3 callersMethodload

(self, name)

tf2.0/rl_trader.py:316

↓ 3 callersMethodload

(self, name)

rl/linear_rl_trader.py:286

↓ 3 callersMethodload_weights

(self, path)

pytorch/rl_trader.py:109

↓ 3 callersMethodlog_likelihood_multi

(self, X)

hmm_class/hmmc_theano.py:163

↓ 3 callersMethodlog_likelihood_multi

(self, X)

hmm_class/hmmc_theano2.py:165

↓ 3 callersFunctionmerge_state_action

(s, a)

rl/approx_control.py:38

↓ 3 callersFunctionmkdir

(p)

cnn_class2/make_limited_datasets.py:5

↓ 3 callersFunctionnegative_grid

(step_cost=-0.1)

rl/grid_world.py:126

↓ 3 callersMethodpartial_fit

(self, X, Y)

rl2/mountaincar/pg_tf.py:157

↓ 3 callersFunctionplot_image

(x, Q, title)

bayesian_ml/2/probit.py:92

↓ 3 callersFunctionpredict

(model, np_states)

pytorch/rl_trader.py:114

↓ 3 callersMethodpredict

(self, X)

supervised_class2/util.py:48

↓ 3 callersMethodpredict

(self, X)

supervised_class2/bagging_regression.py:54

↓ 3 callersMethodpredict

(self, X)

cnn_class2/tf_resnet_first_layers.py:93

↓ 3 callersMethodpredict

(self, X)

cnn_class2/tf_resnet_first_layers_starter.py:35

↓ 3 callersMethodpredict

(self, X)

bayesian_ml/2/probit.py:55

↓ 3 callersMethodpredict

(self, X)

bayesian_ml/1/nb.py:72

↓ 3 callersMethodpredict

(self, s)

rl2/mountaincar/q_learning.py:76

↓ 3 callersMethodpredict

(self, X)

rl2/cartpole/pg_theano.py:171

↓ 3 callersMethodpredict

(self, X)

rl2/cartpole/pg_tf.py:157

↓ 3 callersMethodpredict

(self, s)

rl/approx_prediction.py:55

↓ 3 callersMethodpredict

(self, X)

unsupervised_class2/vanishing.py:110

↓ 3 callersMethodpredict

(self, X)

airline/rnn.py:109

↓ 3 callersMethodpredict_all_actions

(self, s)

rl/approx_control.py:74

↓ 3 callersFunctionprint_policy

(P, g)

rl/iterative_policy_evaluation_deterministic.py:27

↓ 3 callersFunctionprint_values

(V, g)

rl/iterative_policy_evaluation_deterministic.py:15

↓ 3 callersMethodpull

(self)

ab_testing/ucb1.py:25

↓ 3 callersFunctionrbf

(X1, X2, gamma=None)

svm_class/kernel_svm_gradient_primal.py:21

↓ 3 callersFunctionrbf

(X1, X2, gamma=None)

svm_class/svm_gradient.py:23

↓ 3 callersFunctionrecommend

(title)

recommenders/tfidf.py:42

↓ 3 callersFunctionrelu

(a)

cnn_class/cnn_theano.py:24

↓ 3 callersFunctionrun

(num=1, T=500)

bayesian_ml/3/run.py:79

↓ 3 callersFunctionrun_experiment

(m1, m2, m3, eps, N)

ab_testing/comparing_epsilons.py:26

↓ 3 callersFunctionrun_experiment

(m1, m2, m3, eps, N)

rl/comparing_epsilons.py:26

↓ 3 callersMethodsample_action

(self, X)

rl2/cartpole/pg_theano.py:109

↓ 3 callersMethodsample_action

(self, X)

rl2/cartpole/pg_tf.py:113

↓ 3 callersFunctionsample_word

(d)

hmm_class/frost.py:86

↓ 3 callersMethodsave

(save_path)

rl3/a2c/a2c.py:81

↓ 3 callersMethodsave

(self, filename)

rnn_class/srn_language.py:124

↓ 3 callersMethodsave

(self, name)

pytorch/rl_trader.py:349

↓ 3 callersMethodsave_weights

(self, path)

pytorch/rl_trader.py:106

↓ 3 callersFunctionscale_img

(x)

cnn_class2/style_transfer1.py:95

↓ 3 callersMethodscore

(self, X, Y)

rl3/es_mnist.py:73

↓ 3 callersMethodscore

(self, X, Y)

supervised_class2/rf_vs_bag2.py:69

↓ 3 callersMethodset_symbol

(self, sym)

rl/tic_tac_toe.py:41

↓ 3 callersFunctionsoftmax

(a)

nlp_class2/logistic.py:56

↓ 3 callersMethodstep

(ob)

rl3/a2c/neural_network.py:44

↓ 3 callersFunctiontensor_mul

(d, x1, A, x2)

nlp_class2/rntn_tensorflow.py:21

↓ 3 callersFunctionto_code

(a)

unsupervised_class/evolution.py:20

↓ 3 callersFunctiontrain

(model, loss, optimizer, inputs, labels)

ann_class2/pytorch_dropout.py:69

↓ 3 callersMethodtransform

(self, state, sess=None)

rl2/atari/dqn_tf.py:57

↓ 3 callersMethodupdate

(self, x)

ab_testing/ucb1.py:29

↓ 3 callersFunctionwindy_grid

()

rl/grid_world.py:199

↓ 2 callersFunctionCreateNetworks

( s, a, num_actions, action_max, hidden_sizes=(300,), hidden_activation=tf.nn.relu, o

rl3/ddpg.py:38

↓ 2 callersFunctionDBI

(X, M, R)

unsupervised_class/kmeans_mnist.py:104

↓ 2 callersFunctionEnv

linear_regression_class/gd.py:7

↓ 2 callersMethod_decision_function

(self, X)

svm_class/kernel_svm_gradient_primal.py:86

↓ 2 callersMethod_examine_example

(self, i2)

svm_class/svm_smo.py:165

↓ 2 callersMethod_get_ob

(self)

rl3/a2c/atari_wrappers.py:196

↓ 2 callersMethod_get_obs

(self)

tf2.0/rl_trader.py:203

↓ 2 callersMethod_get_obs

(self)

tf2.0/keras_trader.py:210

↓ 2 callersMethod_get_obs

(self)

tf2.0/mlp_trader.py:191

↓ 2 callersMethod_get_obs

(self)

rl/linear_rl_trader.py:197

↓ 2 callersMethod_get_obs

(self)

pytorch/rl_trader.py:228

↓ 2 callersMethod_get_state

(self, index)

rl2/atari/dqn_tf.py:116

↓ 2 callersMethod_get_state

(self, index)

rl2/atari/dqn_theano.py:110

↓ 2 callersMethod_get_val

(self)

tf2.0/rl_trader.py:212

↓ 2 callersMethod_get_val

(self)

tf2.0/keras_trader.py:219

↓ 2 callersMethod_get_val

(self)

tf2.0/mlp_trader.py:200

↓ 2 callersMethod_get_val

(self)

rl/linear_rl_trader.py:206

↓ 2 callersMethod_get_val

(self)

pytorch/rl_trader.py:237

↓ 2 callersMethod_subsample_data

(self, X, Y, n=10000)

svm_class/fake_neural_net.py:32

↓ 2 callersFunctionaccuracy

(T, Y)

nlp_class2/pos_hmm.py:24

↓ 2 callersFunctionadam

(params, grads)

unsupervised_class3/dcgan_theano.py:43

↓ 2 callersFunctionadam

(cost, params, lr0=1e-5, beta1=0.9, beta2=0.999, eps=1e-8)

rl2/atari/dqn_theano.py:155

↓ 2 callersFunctionadam

(cost, params, lr0=1e-3, beta1=0.9, beta2=0.999, eps=1e-8)

rl2/mountaincar/pg_theano.py:23

↓ 2 callersMethodadd_click

(self)

ab_testing/server_solution.py:33

↓ 2 callersMethodadd_experience

Args: action: An integer-encoded action frame: One grayscale frame of the game reward: reward the agend received for perf

rl2/atari/dqn_tf.py:99

↓ 2 callersMethodadd_experience

Args: action: An integer-encoded action frame: One grayscale frame of the game reward: reward the agend received for perf

rl2/atari/dqn_theano.py:93

↓ 2 callersFunctionadd_idx_to_tree

(tree, current_idx)

nlp_class2/rntn_tensorflow_rnn.py:255

↓ 2 callersFunctionadd_idx_to_tree

(tree, current_idx)

nlp_class2/recursive_theano.py:194

↓ 2 callersFunctionadd_idx_to_tree

(tree, current_idx)

nlp_class2/rntn_theano.py:250

↓ 2 callersMethodadd_view

(self)

ab_testing/server_solution.py:36

↓ 2 callersMethodbuild

(self, D, K)

ann_class2/tf_with_save.py:29

↓ 2 callersMethodbuild

(self, We, Wx, Wh, bh, h0, Wo, bo)

rnn_class/srn_language_tf.py:29

↓ 2 callersFunctionbuild_feature_extractor

(input_)

rl2/a3c/nets.py:4

↓ 2 callersFunctionclamp_sample

(x)

unsupervised_class3/bayes_classifier_gmm.py:14

↓ 2 callersFunctionclamp_sample

(x)

unsupervised_class3/bayes_classifier_gaussian.py:14

↓ 2 callersFunctionclassification_rate

(Y, P)

ann_logistic_extra/logistic_softmax_train.py:44

↓ 2 callersFunctionclassification_rate

(Y, P)

ann_logistic_extra/ann_train.py:48

↓ 2 callersFunctionclassification_rate

(Y, P)

ann_logistic_extra/logistic_train.py:29

↓ 2 callersFunctionconvolve_flatten

(X)

cnn_class/edge_benchmark.py:34

↓ 2 callersFunctionconvpool

(X, W, b)

cnn_class/cnn_tf_plot_filters.py:26

↓ 2 callersFunctionconvpool

(X, W, b)

cnn_class/cnn_tf.py:26

↓ 2 callersFunctioncost

(X, R, M)

unsupervised_class/kmeans.py:20

↓ 2 callersFunctioncreate_networks

(num_outputs)

rl2/a3c/nets.py:119

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