Binary classification refers to predicting one of two classes and multi-class classification involves predicting one of more than two classes.
Read moreWhat is setup in PyCaret?
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 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 moreWho created PyCaret?
1 branch. Please give us ⭐️ on our GitHub repo if you like PyCaret. Bio: Moez Ali is a Data Scientist, and is Founder & Author of PyCaret.
Read moreWhat is the use of PyCaret?
PyCaret is a high-level, low-code Python library that makes it easy to compare, train, evaluate, tune, and deploy machine learning models with only a few lines of code . At its core, PyCaret is basically just a large wrapper over many data science libraries such as Scikit-learn, Yellowbrick, SHAP, Optuna, and Spacy.
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