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added mathjax, and improved formatting, plus fixed the acronym for fMRI: https://en.wikipedia.org/wiki/Functional_magnetic_resonance_imaging
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I have been working on a project with fmrifMRI data. It has a training set of 300 * 21764$300 \times 21764$. I am working in python and have used lasso on it for feature selection. 

For different values of the hyperparameter it sometimes selectselects more than 300$300$ features, is that possible for lasso? Or does sci-kit not use the standard lasso?

I have been working on a project with fmri data. It has a training set of 300 * 21764. I am working in python and have used lasso on it for feature selection. For different values of the hyperparameter it sometimes select more than 300 features, is that possible for lasso? Or does sci-kit not use the standard lasso?

I have been working on a project with fMRI data. It has a training set of $300 \times 21764$. I am working in python and have used lasso on it for feature selection. 

For different values of the hyperparameter it sometimes selects more than $300$ features, is that possible for lasso? Or does sci-kit not use the standard lasso?

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Is number of features selected by lasso bounded by number of samples in the dataset?

I have been working on a project with fmri data. It has a training set of 300 * 21764. I am working in python and have used lasso on it for feature selection. For different values of the hyperparameter it sometimes select more than 300 features, is that possible for lasso? Or does sci-kit not use the standard lasso?