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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.

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garymm
garymm commented Jun 10, 2022

Currently code like this is repeated several times:

field = mapping.STORAGE_TENSOR_TYPE_TO_FIELD[
    mapping.TENSOR_TYPE_TO_STORAGE_TENSOR_TYPE[data_type]]
getattr(tensor, field)

This is repetitive and can be encapsulated in a helper function.
Also the name "storage tensor type" is misleading and has led to at least one bug.

We should:

  1. Add a function that does all this
good first issue
Alec-Stashevsky
Alec-Stashevsky commented Feb 15, 2022

Thank you for submitting a feature request. Before proceeding, please review MLflow's Issue Policy for feature requests and the MLflow Contributing Guide.

**Please fill in this feature request template to ensure a timely and thorough response.

enhancement good first issue help wanted area/tracking
chrisxfire
chrisxfire commented Mar 23, 2022

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

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  • 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
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
metaflow
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
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