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import scipy.sparse as sp
import numpy as np
from lasso import SparseLasso, generate_random_data

import pandas as pd


    

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from lasso import sklearn_comparison, RegularizationPath, SyntheticDataRegPath


    

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from sklearn import linear_model


    

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test = SyntheticDataRegPath(N=30, d=50, sigma=1, lam_max=5, frac_decrease = 0.1, steps=5)


    

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test.results_df


    

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test.analyze_path()


    

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test.results_df


    

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test.results_df['weights'].iloc[0]


    

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