This function initializes the training environment and creates the transformation pipeline . Setup function must be called before executing any other function. It takes two mandatory parameters: data and target . All the other parameters are optional.
Read moreWhat is binary classification model?
Binary classification refers to predicting one of two classes and multi-class classification involves predicting one of more than two classes.
Read moreAre Lstms good for time series?
Using LSTM, time series forecasting models can predict future values based on previous, sequential data . This provides greater accuracy for demand forecasters which results in better decision making for the business.
Read moreWhat is the best time series model?
ARIMA and SARIMA AutoRegressive Integrated Moving Average (ARIMA) models are among the most widely used time series forecasting techniques: In an Autoregressive model, the forecasts correspond to a linear combination of past values of the variable.
Read moreWhat is PyCaret package?
PyCaret is an open source Python machine learning library inspired by the caret R package . The goal of the caret package is to automate the major steps for evaluating and comparing machine learning algorithms for classification and regression.
Read moreIs PyCaret open source?
PyCaret is completely free and open-source and licensed under the MIT license.
Read moreWhat is multivariate time series prediction?
A Multivariate time series has more than one time-dependent variable . Each variable depends not only on its past values but also has some dependency on other variables. This dependency is used for forecasting future values.
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