neuralnet (module)

Submodules

neuralnet.nn.define_activation(df, targets, input_columns, test_blocks, n_samples=None, exclude=None, scale=1)

Function to build training objects for neural networks from a DataFrame

Parameters:

df: DataFrame

targets: list of strings

list of targets (values in df.target)

input_columns: list of strings

columns to include as inputs

test_blocks: list of numerics

steps to include

n_samples: int, optional

exact number of samples to use

exclude: int, optional

exact number of initial samples to exclude

scale: list of floats, optional

divisors to scale inputs, one per input column

Returns:

inputs: list of lists

inputs[]: list of numeric

input values

neuralnet.nn.define_trainer_data(df, targets, training_columns, n_samples=None)

Function to build training objects for neural networks from a DataFrame, casting training columns to relative z-scores.

Parameters:

df: DataFrame

targets: dictionary

targets[“target”]: list of strings

list of targets (values in df.target)

targets[“offtarget”]: list of strings

list of offtargets (values in df.target)

training_columns: list of strings

columns to include as inputs

n_samples: int, optional

exact number of samples to use

Returns:

on_target: list of dictionaries

on_target[][“input”]: list of numeric

input values

on_target[][“output”]: list of numeric

output values

neuralnet.nn.place_true(total, index)

Function to place one 1 in a list of 0s

Parameters:

total: int

length of list of zeroes

index: int

0-indexed placement of 1

Returns:

l: list of ints

one-hot list