Skip to content


Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

Here are 4,654 public repositories matching this topic...

BenWilson2 commented Jun 17, 2022

MLflow Roadmap Item

This is an MLflow Roadmap item that has been prioritized by the MLflow maintainers. We’ve identified this feature as a highly requested addition to the MLflow package based on community feedback.
We're seeking a community contribution for the implementation of this feature and will enthusiastically support the development and review of a submitted PR for this.


enhancement good first issue area/docs help wanted
chandrevdw31 commented Jun 6, 2022

Is there an existing issue for this?

  • I have searched the existing issues

Is your feature request related to a problem? Please describe.

Local Databases require to run a Ngrok tunnel to establish a connection when integrating databases to MindsDB

Describe the solution you'd like.

Include a description of using Ngrok Tunnel for local databases in the SQL API/CREATE/DATABASE do

help wanted good first issue documentation
chrisxfire commented Mar 23, 2022

Typo under the description: Returns a containing. Returns a what?

Document Details

Do not edit this section. It is required for ➟ GitHub issue linking.

  • ID: d2dc315d-96d7-e54f-6e90-fec6ed09481c
  • Version Independent ID: ab5d0a68-35d6-ef5f-786e-d89e7fee8034
  • Content: [DataFrameColumn.Info Method (Microsoft.Data.Analysis)](
good first issue up-for-grabs P3
ngupta23 commented Apr 16, 2022

Is your feature request related to a problem? Please describe.
In time series plotting module, lot of plots are customized at the end - template, fig size, etc. Since the same code is repeated in all these plots, maybe this could be modularized and reused.

with fig.batch_update():
    template = _resolve_dict_keys(
        dict_=fig_kwargs, key="template", defaults=fig_default
enhancement good first issue time_series plots
AbhinavTuli commented Mar 22, 2022

🚨🚨 Feature Request

  • A new implementation (Improvement, Extension)

Is your feature request related to a problem?

Currently, if a user tries to access an index that is larger than the dataset length or tensor length, an internal error is thrown which is not easy to understand.

Description of the possible solution

We can catch the error and throw a more descriptive e

enhancement good first issue
brunocous commented Sep 2, 2020

I have a simple regression task (using a LightGBMRegressor) where I want to penalize negative predictions more than positive ones. Is there a way to achieve this with the default regression LightGBM objectives (see If not, is it somehow possible to define (many example for default LightGBM model) and pass a custom regression objective?

achals commented Jun 23, 2022

Is your feature request related to a problem? Please describe.
Right now, feast assumes that the feature_store.yaml is always located at the root of the feature repo. This is a reasonable assumption, but introduces some issues for users - when using multiple environments (e.g. staging vs production) users need to duplicate their feature definitions into multiple directories.


kind/feature good first issue priority/p2 Community Contribution Needed