learning_machine.engine

Config

create_engines_from_config(config)

Create engines from engine config list.

DataEngine

DataEngine()	Data engine interface.
SequentialEngine(engines)	Apply engines sequentially.

Pandas utils

ConcatDFs(engines)	Concat the outputs of the engines into pd.Dataframe
DropColumns(cols[, copy])	Drop columns from dataframe
DropNARow(cols[, copy])	Drop rows contain missing value in specific columns.
FillNaWithValue(cols, fillwith)	Fill nan rows with specific value.
FillNaFrom(col, from_col)	Fill nan value from another column.

Numerical operators

BinaryOperator(col1, col2, operator, prefix)	Binary operate with two columns.
Add(col1, col2[, prefix])	Add two columns.
Sub(col1, col2[, prefix])	Subtract two columns.
Mul(col1, col2[, prefix])	Multiply two columns.
Div(col1, col2[, prefix])	Divide two columns.

Datetime

StringToDatetime(col[, format])	String to pd.datetime object.
DatetimeDayOfYearSinCos(col[, prefix])	Periodically transforms the day of year.
DatetimeMonthOfYearSinCos(col[, prefix])	Periodically transform the month of year.
DatetimeDayOfMonthSinCos(col[, prefix, norm])	Periodically transform the day of month.
DatetimeDayOfWeekSinCos(col[, prefix])	Periodically transforms the day of week.
DatetimeDayOfYear(col[, prefix])	Get day of year from datetime column.
DatetimeMonthOfYear(col[, prefix])	Get month of year from datetime column.
DatetimeDayOfMonth(col[, prefix])	Get day of month from datetime column.
DatetimeDayOfWeek(col[, prefix])	Get day of week from datetime column.
DatetimeIsWeekend(col[, prefix, include_sat])	Get datetime is weekend.

Encoder

OneHotEncoder(cols[, prefix, sparse_output])	Onehot encoder from scikit-learn.
LabelEncoder(col[, prefix])	Label encoder from scikit-learn.

Scaler

StandardScaler(cols[, return_new, prefix])	Standard scaler from scikit-learn.
RobustScaler(cols[, return_new, prefix])	RobustScaler from scikit-learn.
MinMaxScaler(cols[, return_new, prefix])	MinMaxScaler from scikit-learn.