Hands-on Time Series Analysis with Python: From Basics to Bleeding Edge Techniques

Index

A

Activation function

binary step function

linear activation function

nonlinear

SeeNonlinear activation functions

types

Additive model

Additive seasonality model

add_regressor

.agg() function

Aggregation, GROUP BY

Akaike Information Criterion (AIC)

Alpha

ARMA model

Ascending data order

Augmented Dickey-Fuller (ADF) test

Auto-arima

Autocorrelation function (ACF)

Autocorrelation plot

Auto-encoder

Auto-encoder LSTM multivariate horizon style

actual vs. predicted values

best weights

drop duplicates

early stopping and checkpointing

five-point summary

function, defining

import libraries

model summary

rescale predicted values

time-series evaluation function

training and validation loss

training and validation time-series data

train/test split

Auto-encoder LSTM univariate horizon ...