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github.com/blockchain99/stock-predict-by-RNN-LSTM
/ functions
Functions
53 in github.com/blockchain99/stock-predict-by-RNN-LSTM
⨍
Functions
53
◇
Types & classes
9
↓ 13 callers
Method
add
(self, name, error_rates)
classification_performance.py:14
↓ 7 callers
Method
train
(self, data)
nn.py:16
↓ 6 callers
Function
get_test_data
(window_size)
nyse.py:350
↓ 6 callers
Method
test
(self, data)
nn.py:27
↓ 4 callers
Method
run_with_cross_validation
(self, data, cross_num)
nn.py:44
↓ 3 callers
Method
feature_selection
(self, data, cross_val_passes=3)
nn.py:74
↓ 2 callers
Method
__prepare_model
(self)
perceptron.py:39
↓ 2 callers
Method
__prepare_model
(self)
rnn.py:19
↓ 2 callers
Method
__run_with_cross_validation
(self, x, y, cross_num)
nn.py:47
↓ 2 callers
Method
add_record
(self, record)
nyse.py:27
↓ 2 callers
Method
get_model
(self)
rnn.py:45
↓ 2 callers
Method
pickle_from_file
(self, filename)
nyse.py:95
↓ 2 callers
Function
prepare_data
(book, window_size)
nyse.py:321
↓ 2 callers
Method
process_order
(self, order)
nyse.py:158
↓ 1 callers
Method
__change_input_dim
(self, input_dim)
nn.py:70
↓ 1 callers
Method
build
(self, input_shape)
test.py:33
↓ 1 callers
Method
change_input_dim
(self, input_dim)
rnn.py:41
↓ 1 callers
Method
compare
(self)
classification_performance.py:19
↓ 1 callers
Method
from_db_result
(cls, result)
nyse.py:134
↓ 1 callers
Method
getX
(self, v1, v2, v3, v4, v5)
nyse.py:266
↓ 1 callers
Method
getXY
(self)
nyse.py:283
↓ 1 callers
Method
getY
(self, previous, current)
nyse.py:275
↓ 1 callers
Function
get_balanced_subsample
(x, y, subsample_size=1.0)
nyse.py:287
↓ 1 callers
Function
main
()
perceptron.py:99
↓ 1 callers
Function
main
()
nyse.py:362
↓ 1 callers
Function
main
()
rnn.py:49
↓ 1 callers
Function
main
()
main.py:154
↓ 1 callers
Method
make_plots
(self)
classification_performance.py:33
↓ 1 callers
Method
parse_from_binary
(self, binary_record)
nyse.py:21
↓ 1 callers
Method
pickle_to_file
(self, filename)
nyse.py:90
↓ 1 callers
Method
print_records
(self)
nyse.py:77
↓ 1 callers
Method
read_from_file
(self, file_path, record_filter=(lambda x: True), max_rows=10000)
nyse.py:35
↓ 1 callers
Method
update_history
(self, order)
nyse.py:216
Method
__init__
(self, nn, validation_split=0.25, batch_size=128, nb_epoch=10, show_accuracy=True)
nn.py:8
Method
__init__
(self, input_length, hidden_cnt, input_dim, output_dim)
perceptron.py:32
Method
__init__
(self, x, y)
nyse.py:9
Method
__init__
(self, name='unknown')
nyse.py:18
Method
__init__
(self, data=None)
nyse.py:104
Method
__init__
(self, name='unknown')
nyse.py:155
Method
__init__
(self)
classification_performance.py:11
Method
__init__
(self, input_length, hidden_cnt, input_dim, output_dim)
rnn.py:12
Method
__str__
(self)
nyse.py:123
Method
change_input_dim
(self, input_dim)
perceptron.py:91
Function
fs
()
main.py:9
Method
get_model
(self)
perceptron.py:95
Function
mlp_iter_error
(iters=500)
main.py:92
Function
mlp_iter_error_plot
()
plotting.py:46
Function
plot_features
()
plotting.py:6
Method
read_from_db
(self, db, filter)
nyse.py:52
Function
rrn_iter_error
(iters=200)
main.py:30
Function
rrn_iter_error_plot
()
plotting.py:30
Method
save_to_db
(self, db)
nyse.py:58
Method
step
(x, states, weights)
test.py:41