Skip to content
#

ml

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 4,572 public repositories matching this topic...

jcwchen
jcwchen commented Jun 1, 2022

Feature Request

System information

ONNX version (you are using): The latest main branch.

What is the problem that this feature solves?

To enhance robustness of node test data, ONNX CIs should have some ways to validate updated/uploaded input.pb/output.pb and ONNX models. Currently at least ONNX models have been covered by this PR: onnx/onnx#3855. However,

test good first issue enhancement build pipelines
chrisxfire
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 docs.microsoft.com ➟ GitHub issue linking.

  • ID: d2dc315d-96d7-e54f-6e90-fec6ed09481c
  • Version Independent ID: ab5d0a68-35d6-ef5f-786e-d89e7fee8034
  • Content: [DataFrameColumn.Info Method (Microsoft.Data.Analysis)](https://docs.microsoft.com/e
good first issue up-for-grabs P3
metaflow
ngupta23
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
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
SynapseML
brunocous
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 https://lightgbm.readthedocs.io/en/latest/Parameters.html)? If not, is it somehow possible to define (many example for default LightGBM model) and pass a custom regression objective?

natsoule
natsoule commented May 17, 2022

Is your feature request related to a problem? Please describe.
The current Feast online store for GCP implementation requires Firestore in Datastore mode. Firestore can only be in one mode at a time per GCP account. You cannot use native mode for some applications and Datastore mode for others within the same account. Adding a feature store to an existing GCP account that uses native mode wou

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