Data Science

Describe the issue linked to the documentation

The description of cross-validation estimator does not explain whether the final model parameters are estimated on the entire training set, using the optimal hyperparameter obtained through cross-validation.

Screenshot

Description

chart 3 dot menu is behind the chart title panel in chart maximize mode

Apache Arrow has a first-class tabular file format, Feather, that the Ray Datasets IO layer should support. Combined with Ray Datasets' existing .from_arrow() and .to_arrow() APIs, this would round out our "all-Arrow" experience, which should be as nice as possible given our "distributed Arrow dataset" positioning.

Implementation Note

Summary

date_input widget should throw an exception if value not in (min_value, max_value) range.
An exception should be thrown also in case of range input, when left and right values of a provided interval are less (or great) than min_value or max_value.

Steps to reproduce

Code snippet:

For single value

import datetime as dt
import streamlit as st

x = st.date

The docs for IPython.core.interactiveshell.InteractiveShell.set_custom_exc have horribly mangled a warning message into a list of arguments. I can't work out at a glance why this is happening; it might be a sphinx.ext.napoleon bug, or a sphi

In recent versions (can't say from exactly when), there seems to be an off-by-one error in dcc.DatePickerRange. I set max_date_allowed = datetime.today().date(), but in the calendar, yesterday is the maximum date allowed. I see it in my apps, and it is also present in the first example on the DatePickerRange documentation page.

E

🚀 Feature

Support the following:

@dataclass
class MyDataModule(LightningDataModule):
    pass

Motivation

To reduce boilerplate code is at the core of philosophy in Lightning. It should be compatible with dataclasses.

Code sample

Here is an example. It currently does not work as we have some internal attributes that don't play well with the dataclass.

Problem

The source link in the docs:

links to the matplotlib source on the website. This is ok, but subsequent navigation of the code is more frustrating than on github. For example I can't figure out how to the get to the folder containing https://matplotlib.org/stable/_modul

In gensim/models/fasttext.py:

    model = FastText(
        vector_size=m.dim,
        vector_size=m.dim,
        window=m.ws,
        window=m.ws,
        epochs=m.epoch,
        epochs=m.epoch,
        negative=m.neg,
        negative=m.neg,
        # FIXME: these next 2 lines read in unsupported FB FT modes (loss=3 softmax or loss=4 onevsall,
        # or model=3 supervi

Is your feature request related to a problem? Please describe.
I typically used compressed datasets (e.g. gzipped) to save disk space. This works fine with AllenNLP during training because I can write my dataset reader to load the compressed data. However, the predict command opens the file and reads lines for the Predictor. This fails when it tries to load data from my compressed files.