Machine Learning Model Parameters Setting Shortcut with Double Asterisks

Quick way to pass down machine learning model parameters: model(**params)

from sklearn.ensemble import RandomForestRegressor

params = {'n_estimators': 100,
          'max_depth': 4}

Pass down parameters with **

model = RandomForestRegressor(**params)
model

RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=4,
           max_features='auto', max_leaf_nodes=None,
           min_impurity_decrease=0.0, min_impurity_split=None,
           min_samples_leaf=1, min_samples_split=2,
           min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=1,
           oob_score=False, random_state=None, verbose=0, warm_start=False)

Won't work without asterisks

model = RandomForestRegressor(params)
model

RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=None,
           max_features='auto', max_leaf_nodes=None,
           min_impurity_decrease=0.0, min_impurity_split=None,
           min_samples_leaf=1, min_samples_split=2,
           min_weight_fraction_leaf=0.0,
           n_estimators={'n_estimators': 100, 'max_depth': 4}, n_jobs=1,
           oob_score=False, random_state=None, verbose=0, warm_start=False)