[pkg] v0.3.12 pypi is not updated

xmnlab commented 2 years ago

Hi everyone!

I am trying to use v0.3.12 but it seems that the package on pypi is not the same as the code here on github under tag v0.3.12

I downloaded the package from pypi and the init function is:

class NGBRegressor(NGBoost, BaseEstimator):
    """
    Constructor for NGBoost regression models.

    NGBRegressor is a wrapper for the generic NGBoost class that facilitates regression.
    Use this class if you want to predict an outcome that could take an
    infinite number of (ordered) values.

    Parameters:
        Dist              : assumed distributional form of Y|X=x.
                            A distribution from ngboost.distns, e.g. Normal
        Score             : rule to compare probabilistic predictions P̂ to the observed data y.
                            A score from ngboost.scores, e.g. LogScore
        Base              : base learner to use in the boosting algorithm.
                            Any instantiated sklearn regressor, e.g. DecisionTreeRegressor()
        natural_gradient  : logical flag indicating whether the natural gradient should be used
        n_estimators      : the number of boosting iterations to fit
        learning_rate     : the learning rate
        minibatch_frac    : the percent subsample of rows to use in each boosting iteration
        col_sample        : the percent subsample of columns to use in each boosting iteration
        verbose           : flag indicating whether output should be printed during fitting
        verbose_eval      : increment (in boosting iterations) at which output should be printed
        tol               : numerical tolerance to be used in optimization
        random_state      : seed for reproducibility. See
                            https://stackoverflow.com/questions/28064634/random-state-pseudo-random-number-in-scikit-learn
    Output:
        An NGBRegressor object that can be fit.
    """

    def __init__(
        self,
        Dist=Normal,
        Score=LogScore,
        Base=default_tree_learner,
        natural_gradient=True,
        n_estimators=500,
        learning_rate=0.01,
        minibatch_frac=1.0,
        col_sample=1.0,
        verbose=True,
        verbose_eval=100,
        tol=1e-4,
        random_state=None,
    ):

but the same code under tag v0.3.12 is different: https://github.com/stanfordmlgroup/ngboost/blob/v0.3.12/ngboost/api.py#L21-L73

not sure if I am missing something .. but it looks like it is not updated.

any change to update the package on pypi?

all the best! thanks!

xmnlab commented 2 years ago

Hi everyone, just a friendly reminder about this issue :)

xmnlab commented 2 years ago

Hi folks, just a friendly reminder about this issue if there is any update

ryan-wolbeck commented 2 years ago

@xmnlab I'll be working to resolve this in a few days, hoping to merge the latest PR out along with this fix

xmnlab commented 2 years ago

That sounds great, thank you for the feedback!