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Functions1,905 in github.com/lazyprogrammer/machine_learning_examples

⨍ Functions 1,905◇ Types & classes 254↳ Endpoints 4
↓ 151 callersMethodrun
(self)
rl3/a2c/a2c.py:124
↓ 77 callersMethodgrad
(self, s, a)
rl/cartpole.py:64
↓ 56 callersFunctioninit_weight
(Mi, Mo)
rnn_class/util.py:17
↓ 51 callersMethodget
(self)
supervised_class/app.py:23
↓ 51 callersMethodload
(load_path)
rl3/a2c/a2c.py:85
↓ 41 callersMethodstep
(self, action)
rl3/es_flappy.py:36
↓ 40 callersMethodcopy
(self)
rl2/mountaincar/pg_tf_random.py:144
↓ 38 callersMethodrun
(self, sess, coord, t_max)
rl2/a3c/worker.py:147
↓ 37 callersFunctionfind_analogies
(w1, w2, w3, We, word2idx, idx2word)
nlp_class2/util.py:47
↓ 34 callersMethodfit_transform
(self, data)
nlp_class2/bow_classifier.py:76
↓ 30 callersMethodreset
(self)
rl2/cartpole/td_lambda.py:54
↓ 27 callersMethodall_states
(self)
rl/grid_world.py:92
↓ 27 callersFunctionanalogy
(pos1, neg1, pos2, neg2, word2idx, idx2word, W)
nlp_class2/word2vec.py:276
↓ 27 callersFunctionanalogy
(pos1, neg1, pos2, neg2, word2idx, idx2word, W)
nlp_class2/word2vec_theano.py:327
↓ 27 callersFunctionanalogy
(pos1, neg1, pos2, neg2, word2idx, idx2word, W)
nlp_class2/word2vec_tf.py:378
↓ 25 callersFunctionfind_analogies
(w1, w2, w3)
nlp_class2/pretrained_w2v.py:38
↓ 25 callersFunctionfind_analogies
(w1, w2, w3)
nlp_class2/pretrained_glove.py:54
↓ 23 callersFunctionprint_values
(V, g)
rl/iterative_policy_evaluation_probabilistic.py:15
↓ 22 callersFunctioninit_weight
(Mi, Mo)
nlp_class2/util.py:17
↓ 22 callersMethodreset
(self)
rl3/es_flappy.py:44
↓ 22 callersMethodscore
(self, X, Y)
nlp_class2/pos_rnn.py:134
↓ 21 callersFunctionanalogy
(pos1, neg1, pos2, neg2)
nlp_class2/pmi.py:273
↓ 21 callersFunctionerror_rate
(p_y, t)
ann_class2/util.py:172
↓ 21 callersFunctionforward
(X, W1, b1, W2, b2)
ann_class2/mlp.py:12
↓ 21 callersMethodsample
(self)
rl/bayesian_bandit.py:30
↓ 20 callersMethodfit
(self, X, Y, learning_rate=1e-4, mu=0.99, epochs=30, show_fig=True, activation=T.nnet.relu, RecurrentUnit=GRU,
nlp_class2/pos_rnn.py:32
↓ 20 callersMethodforward
(self, X)
ann_class2/theano_ann.py:118
↓ 20 callersFunctionget_normalized_data
()
ann_class2/util.py:117
↓ 20 callersFunctiony2indicator
(y)
ann_class2/util.py:190
↓ 19 callersFunctioninit_weight
(Mi, Mo)
rnn_class/batch_units.py:13
↓ 19 callersMethodpredict
(self, words, left, right, lab)
nlp_class2/rntn_tensorflow_rnn.py:225
↓ 19 callersMethodpredict
(self, X)
airline/ann.py:128
↓ 17 callersMethodfit
(self, X, Y, activation=T.tanh, learning_rate=1e-3, mu=0.5, reg=0, epochs=5000, batch_sz=None, print_period=10
airline/ann.py:41
↓ 17 callersFunctiongetKaggleMNIST
()
unsupervised_class2/util.py:21
↓ 16 callersMethodtransform
(self, observations)
rl2/mountaincar/q_learning.py:58
↓ 15 callersFunctionforward
(X, W, b)
ann_class2/util.py:160
↓ 15 callersMethodpredict
(self, X)
cnn_class2/tf_resnet.py:185
↓ 14 callersFunctioncost
(p_y, t)
ann_class2/util.py:177
↓ 14 callersMethodpredict
(self, X)
supervised_class2/adaboost.py:40
↓ 14 callersMethodscore
(self, X, Y)
svm_class/svm_smo.py:255
↓ 13 callersMethodcurrent_state
(self)
rl/grid_world.py:31
↓ 13 callersMethodgame_over
(self)
rl/grid_world.py:87
↓ 13 callersMethodtransform
(self, state, sess=None)
rl2/a3c/worker.py:35
↓ 12 callersMethodfit
(self, X, Y)
supervised_class2/adaboost.py:19
↓ 12 callersFunctionprint_policy
(P, g)
rl/iterative_policy_evaluation_probabilistic.py:27
↓ 12 callersMethodreset
(self)
rl3/a2c/atari_wrappers.py:261
↓ 11 callersMethodscore
(self, X, Y)
unsupervised_class2/gaussian_nb.py:31
↓ 11 callersMethodstep
(self, action)
rl3/a2c/atari_wrappers.py:274
↓ 10 callersFunctionget_sentences_with_word2idx_limit_vocab
(n_vocab=2000, keep_words=KEEP_WORDS)
rnn_class/brown.py:46
↓ 10 callersMethodmove
(self, action)
rl/grid_world.py:59
↓ 10 callersMethodpredict_proba
(self, X)
bayesian_ml/1/nb.py:41
↓ 9 callersFunctionconvolve2d
(X, W)
cnn_class/custom_blur.py:40
↓ 9 callersFunctiondot1
(V, W)
recommenders/rbm_tf_k.py:67
↓ 9 callersMethodentropy
(var)
rl2/mountaincar/pg_theano.py:109
↓ 9 callersFunctionget_data
(limit=None)
supervised_class/util.py:12
↓ 9 callersFunctionplot_k_means
(X, K, max_iter=20, beta=3.0, show_plots=False)
unsupervised_class/kmeans.py:34
↓ 9 callersMethodtransform
(self, X)
svm_class/fake_neural_net.py:87
↓ 9 callersMethodtransform
(self, X)
recommenders/rbm_tf_k.py:226
↓ 8 callersMethodcopyFromKerasLayers
(self, layer)
cnn_class2/tf_resnet_convblock.py:35
↓ 8 callersMethodfit
(self, X, learning_rate=1e-5, mu=0.99, epochs=10, show_fig=True, activation=T.nnet.relu, RecurrentUnit=GRU, no
rnn_class/wiki.py:31
↓ 8 callersMethodfit_transform
(self, X, Y=None)
svm_class/fake_neural_net.py:92
↓ 8 callersMethodforward
(self, X)
cnn_class2/tf_resnet_convblock.py:25
↓ 8 callersFunctionget_signals
(N=20, T=100, init=big_init)
hmm_class/generate_c.py:57
↓ 8 callersMethodis_terminal
(self, s)
rl/grid_world.py:34
↓ 8 callersMethodload
(filename, activation)
rnn_class/srn_language.py:128
↓ 8 callersFunctionnearest_neighbors
(w)
nlp_class2/pretrained_w2v.py:42
↓ 8 callersFunctionnearest_neighbors
(w, n=5)
nlp_class2/pretrained_glove.py:76
↓ 8 callersFunctionstandard_grid
()
rl/grid_world.py:99
↓ 7 callersFunctioncheck
(A, b)
numpy_class/exercises/ex5.py:32
↓ 7 callersMethodclose
(self)
rl3/a2c/subproc_vec_env.py:94
↓ 7 callersFunctionderivative_b1
(Z, T, Y, W2)
ann_class2/mlp.py:35
↓ 7 callersFunctionderivative_b2
(T, Y)
ann_class2/mlp.py:28
↓ 7 callersFunctionderivative_w1
(X, Z, T, Y, W2)
ann_class2/mlp.py:31
↓ 7 callersFunctionderivative_w2
(Z, T, Y)
ann_class2/mlp.py:25
↓ 7 callersMethodfit
(self, X, Y, activation=T.nnet.relu, learning_rate=1e-3, mu=0.0, reg=0, epochs=100, batch_sz=None, print_perio
ann_class2/theano_ann.py:42
↓ 7 callersMethodfit
(self, X, Y, lr=1e-4, mu=0.99, reg=1e-6, decay=0.99999, eps=1e-2, batch_sz=30, epochs=100, show_fig=True)
cnn_class/cifar.py:111
↓ 7 callersMethodfit
(self, X, learning_rate=0.1, epochs=1, batch_sz=100, show_fig=False)
unsupervised_class2/rbm.py:25
↓ 7 callersMethodfit
(self, X, Y, tol=0.00001, eps=0.01)
svm_class/svm_smo.py:198
↓ 7 callersMethodfit
(self, X, y)
supervised_class/knn.py:26
↓ 7 callersFunctioninit_weights
(shape)
unsupervised_class2/util.py:37
↓ 7 callersFunctionmax_dict
(d)
rl/monte_carlo_es.py:58
↓ 7 callersFunctionplot_running_avg
(totalrewards)
rl2/cartpole/q_learning_bins.py:104
↓ 7 callersMethodscore
(self, X, Y)
ann_class2/theano_ann.py:124
↓ 7 callersMethodscore
(self, X, Y)
supervised_class2/adaboost.py:49
↓ 6 callersMethod__init__
(self, env, rank=0)
rl3/a2c/atari_wrappers.py:247
↓ 6 callersFunction_read32
(bytestream)
tensorflow/input_data.py:21
↓ 6 callersFunctiondot
(A, B)
nlp_class2/word2vec_tf.py:144
↓ 6 callersFunctionerror_rate
(p, t)
cnn_class/benchmark.py:20
↓ 6 callersFunctionget_data
()
cnn_class/benchmark.py:50
↓ 6 callersFunctionget_output
(node, X, Y)
ann_class2/cntk_example.py:97
↓ 6 callersFunctionget_robert_frost
()
rnn_class/util.py:68
↓ 6 callersFunctionget_vars
(scope)
rl3/ddpg.py:32
↓ 6 callersFunctionget_wikipedia_data
(n_files, n_vocab, by_paragraph=False)
rnn_class/util.py:91
↓ 6 callersMethodpartial_fit
(self, X, Y)
rl2/cartpole/pg_tf.py:152
↓ 6 callersMethodpredict
(self, s, a)
rl/cartpole.py:56
↓ 6 callersFunctionpurity
(Y, R)
unsupervised_class/kmeans_mnist.py:53
↓ 6 callersMethodscore
(self, X, Y)
nlp_class2/pos_baseline.py:89
↓ 6 callersMethodscore
(self, X, Y)
supervised_class/knn.py:62
↓ 6 callersMethodscore
(self, X, Y)
airline/ann.py:124
↓ 6 callersMethodtransform
(self, data)
nlp_class2/bow_classifier.py:56
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