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Functions102 in github.com/deependersingla/deep_trader

↓ 5 callersFunctionvariable_summaries
Attach a lot of summaries to a Tensor.
tensor-reinforcement/tensorboard_helper.py:3
↓ 4 callersMethodbias_variable
(self,shape)
tensor-reinforcement/pg_stock_model.py:149
↓ 4 callersFunctionfind_average
(data)
tensor-reinforcement/episodic_data.py:67
↓ 4 callersMethodweight_variable
(self,shape)
tensor-reinforcement/pg_stock_model.py:145
↓ 3 callersMethodQ_func
(self, state)
q_learning/dqn_training.py:126
↓ 3 callersFunctionenv_stage_data
(agent, step, episode_data, portfolio, portfolio_value, train)
tensor-reinforcement/pg_stock_model.py:303
↓ 3 callersFunctionenv_stage_data
(agent, step, episode_data, portfolio, portfolio_value, train)
tensor-reinforcement/dqn_model.py:231
↓ 2 callersMethodaction_to_index
(self, action)
q_learning/dqn_training.py:154
↓ 2 callersMethodbias_variable
(self,shape)
tensor-reinforcement/pg_model.py:118
↓ 2 callersMethodbias_variable
(self,shape)
tensor-reinforcement/dqn_model.py:152
↓ 2 callersMethode_greedy
(self, state, epsilon)
q_learning/dqn_training.py:134
↓ 2 callersMethodexperienceReplay
(self, time)
q_learning/dqn_training.py:96
↓ 2 callersFunctionfind_average
(data)
prepare_data.py:18
↓ 2 callersFunctionfind_average
(data)
supervised/data.py:90
↓ 2 callersMethodfind_reward
(self, action)
run.py:39
↓ 2 callersFunctionget_intial_data
()
tensor-reinforcement/train_stock.py:28
↓ 2 callersFunctionlist_md5_string_value
(list)
tensor-reinforcement/episodic_data.py:79
↓ 2 callersMethodmake_input_vector
(self)
run.py:22
↓ 2 callersFunctionmake_supervised_input_vector
(episode, data, y_label_data)
tensor-reinforcement/pg_stock_model.py:280
↓ 2 callersFunctionnew_stage_data
(action, portfolio, old_state, new_state, portfolio_value, done, episode_data)
tensor-reinforcement/train_stock.py:41
↓ 2 callersMethodpolicy_forward
(self,state)
tensor-reinforcement/pg_model.py:107
↓ 2 callersFunctionshow_trader_path
(actions, episode_data, portfolio_list, portfolio_value_list, reward_list)
tensor-reinforcement/train_stock.py:78
↓ 2 callersMethodstockExperience
(self, time, state, action, reward, state_dash, episode_end_fl
q_learning/dqn_training.py:80
↓ 2 callersMethodsupervised_accuracy
(self, state_batch, y_batch)
tensor-reinforcement/pg_stock_model.py:120
↓ 2 callersMethodweight_variable
(self,shape)
tensor-reinforcement/pg_model.py:114
↓ 2 callersMethodweight_variable
(self,shape)
tensor-reinforcement/dqn_model.py:148
↓ 1 callersMethod__init__
(self, n_in, n_units, n_out)
supervised/net.py:10
↓ 1 callersMethodaction
(self,state)
tensor-reinforcement/pg_stock_model.py:138
↓ 1 callersMethodaction
(self,state)
tensor-reinforcement/dqn_model.py:143
↓ 1 callersMethodagent_start
(self)
run.py:75
↓ 1 callersMethodagent_step
(self, reward, observation)
q_learning/dqn_agent.py:40
↓ 1 callersFunctionanalog_accuracy
Computes muticlass classification accuracy of the minibatch. Args: y (Variable): Variable holding a matrix whose (i, j)-th element
supervised/analog_accuracy.py:46
↓ 1 callersMethodcreate_Q_network
(self, data_dictionary)
tensor-reinforcement/dqn_model.py:52
↓ 1 callersFunctioncreate_contract
Create a Contract object defining what will be purchased, at which exchange and in which currency. symbol - The ticker symbol for the contrac
ib/ib_api_contract.py:13
↓ 1 callersFunctioncreate_order
Create an Order object (Market/Limit) to go long/short. order_type - 'MKT', 'LMT' for Market or Limit orders quantity - Integral number of as
ib/ib_api_contract.py:30
↓ 1 callersMethodcreate_pg_network
(self, data_dictionary)
tensor-reinforcement/pg_stock_model.py:54
↓ 1 callersMethodcreate_pg_network
(self, weights, biases)
tensor-reinforcement/pg_model.py:64
↓ 1 callersMethodcreate_supervised_accuracy
(self)
tensor-reinforcement/pg_stock_model.py:81
↓ 1 callersMethodcreate_training_method
(self)
tensor-reinforcement/pg_stock_model.py:70
↓ 1 callersMethodcreate_training_method
(self)
tensor-reinforcement/pg_model.py:73
↓ 1 callersMethodcreate_training_method
(self)
tensor-reinforcement/dqn_model.py:72
↓ 1 callersFunctiondata_average_price
(data_dict, data)
tensor-reinforcement/episodic_data.py:90
↓ 1 callersMethoddiscounted_rewards
(self,rewards)
tensor-reinforcement/pg_stock_model.py:153
↓ 1 callersMethoddiscounted_rewards
(self,rewards)
tensor-reinforcement/pg_model.py:122
↓ 1 callersMethodegreedy_action
(self,state)
tensor-reinforcement/dqn_model.py:130
↓ 1 callersFunctionepisode_supervised_data
(data, data_dict)
tensor-reinforcement/episodic_data.py:83
↓ 1 callersFunctionfind_profit_from_given_action
(prices, actions)
tensor-reinforcement/supervised_helper.py:29
↓ 1 callersMethodforward
(self, state, action, Reward, state_dash, episode_end)
q_learning/dqn_training.py:57
↓ 1 callersFunctiongenerate_actions_from_price_data
(prices)
tensor-reinforcement/supervised_helper.py:4
↓ 1 callersMethodget_account_updates
(self)
ib/portfolio_detail.py:18
↓ 1 callersFunctionget_iteration_actions_recursive
(action_list, temp_array, episode, global_array)
tensor-reinforcement/supervised_helper.py:46
↓ 1 callersMethodindex_to_action
(self, index_of_action)
q_learning/dqn_training.py:151
↓ 1 callersFunctioniteration_based_result
()
tensor-reinforcement/supervised_helper.py:18
↓ 1 callersFunctionload_file_data
(file)
tensor-reinforcement/episodic_data.py:74
↓ 1 callersFunctionmain
()
tensor-reinforcement/pg_stock_model.py:168
↓ 1 callersFunctionmain
()
tensor-reinforcement/pg_model.py:137
↓ 1 callersFunctionmain
()
tensor-reinforcement/dqn_model.py:163
↓ 1 callersFunctionmake_supervised_vector
(last_n_data, daily_gain)
supervised/data.py:72
↓ 1 callersMethodperceive
(self,states,epd)
tensor-reinforcement/pg_stock_model.py:85
↓ 1 callersMethodperceive
(self,states,epd)
tensor-reinforcement/pg_model.py:84
↓ 1 callersMethodperceive
(self,state,action,reward,next_state,done)
tensor-reinforcement/dqn_model.py:82
↓ 1 callersMethodpolicy_forward
(self,state)
tensor-reinforcement/pg_stock_model.py:123
↓ 1 callersFunctionprepare_data
(scrip_id)
prepare_data.py:8
↓ 1 callersFunctionprepare_data
()
supervised/data.py:20
↓ 1 callersFunctionstandardization
(data)
prepare_data.py:13
↓ 1 callersFunctionstandardization
(data)
supervised/data.py:85
↓ 1 callersFunctionsupervised_seeding
(agent, data_dictionary)
tensor-reinforcement/pg_stock_model.py:248
↓ 1 callersMethodtarget_model_update
(self)
q_learning/dqn_training.py:148
↓ 1 callersMethodtrain_Q_network
(self)
tensor-reinforcement/dqn_model.py:93
↓ 1 callersMethodtrain_pg_network
(self)
tensor-reinforcement/pg_stock_model.py:91
↓ 1 callersMethodtrain_pg_network
(self)
tensor-reinforcement/pg_model.py:90
↓ 1 callersMethodtrain_supervised
(self, state_batch, y_batch)
tensor-reinforcement/pg_stock_model.py:108
↓ 1 callersFunctionwrite_to_csv
(sym)
ib/historical_data.py:39
Method__call__
(self, x)
supervised/net.py:21
Method__call__
(self, x)
supervised/net.py:44
Method__call__
(self, x, t)
supervised/net_analog.py:23
Method__init__
(self, data)
run.py:10
Method__init__
(self, data_dictionary)
tensor-reinforcement/pg_stock_model.py:24
Method__init__
(self, env)
tensor-reinforcement/pg_model.py:22
Method__init__
(self, data_dictionary)
tensor-reinforcement/dqn_model.py:23
Method__init__
(self, input_vector_length,enable_controller=[0, 1, 2])
q_learning/dqn_training.py:25
Method__init__
(self, lastAction, input_vector_length)
q_learning/dqn_agent.py:11
Method__init__
(self, n_in, n_units, n_out)
supervised/net.py:36
Method__init__
(self, n_in, n_units, n_out)
supervised/net_analog.py:12
Method__init__
(self)
ib/portfolio_detail.py:9
Methodagent_cleanup
(self)
q_learning/dqn_agent.py:100
Methodagent_end
(self, reward)
q_learning/dqn_agent.py:86
Methodagent_message
(self, inMessage)
q_learning/dqn_agent.py:103
Methodagent_start
(self, observation)
q_learning/dqn_agent.py:22
Methodcheck_type_forward
(self, in_types)
supervised/analog_accuracy.py:12
Functionerror_handler
(msg)
ib/ticker_data.py:7
Functionerror_handler
(msg)
ib/historical_data.py:9
Functionerror_handler
Handles the capturing of error messages
ib/ib_api_contract.py:5
Methodforward
(self, inputs)
supervised/analog_accuracy.py:26
Functionload_data
(file,episode)
tensor-reinforcement/episodic_data.py:70
Functionload_stock_data
()
supervised/data.py:94
Functionmake_supervised_data
(data, data_dict)
tensor-reinforcement/episodic_data.py:95
Functionmy_callback_handler
(msg)
ib/ticker_data.py:11
Functionmy_callback_handler
(msg)
ib/historical_data.py:19
Functionprepare_data
()
tensor-reinforcement/episodic_data.py:31
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