How can you implement multi-task learning using sklearn or other libraries?

I am trying to use scikit-learn within spyder. I am using spyder 5.0.3 and anaconda 4.10.1. I installed scikit-learn on an anaconda prompt with the following ... Top-level functions and classes¶. sklearn_xarray. wrap (estimator, reshapes=None, sample_dim=None, compat=False, **kwargs)[source]¶. Wrap an sklearn ... This free course by Analytics Vidhya will teach you all you need to get started with scikit-learn for machine learning. from sklearn.metrics import roc_curve, roc_auc_score probabilities = classifier.predict_proba(X_test) fpr, tpr, _ = roc_curve(y_test, probabilities[:, 0]) ... SciKit-Learn is a powerful and versatile machine learning library in Python. It is designed to interoperate seamlessly with other Python libraries and ... Jan 22, 2024 ... Here is how to fix this error in the main use cases: - use 'pip install scikit-learn' rather than 'pip install sklearn' - replace 'sklearn' by ' ... Search the space of classifiers and preprocessing steps and their respective hyperparameters in sklearn to fit a model to the data. raw_score (str, True, False, or None, default=sklearn.utils.metadata_routing.UNCHANGED) – Metadata routing for raw_score parameter in predict . Creates a SKLearn Estimator for Scikit-learn environment. It will execute an Scikit-learn script within a SageMaker Training Job. Aug 28, 2021 ... Essentially, sklearn is a dummy project on PyPi that will in turn install scikit-learn . Therefore, if you uninstall sklearn you are just ...