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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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chan4cc
chan4cc commented Apr 26, 2021

New Operator

Describe the operator

Why is this operator necessary? What does it accomplish?

This is a frequently used operator in tensorflow/keras

Can this operator be constructed using existing onnx operators?

If so, why not add it as a function?

I don't know.

Is this operator used by any model currently? Which one?

Are you willing to contribute it?

operator good first issue enhancement
harupy
harupy commented Mar 31, 2022

Plotting functions in scikit-learn (e.g. plot_confusion_matrix) are deprecated in 1.0 and will be removed in 1.2. They should be replaced with plotting class methods (e.g. ConfusionMatrixDisplay.from_predictions).

https://github.com/mlflow/mlflow/blob/1ddb2c9b5ace0fa605195a4b14c595e274a8c384/mlflow/sklearn/utils.py#L313

For example, the code above can be fixed as follows:

i
good first issue
chrisxfire
chrisxfire commented Mar 23, 2022

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

Document Details

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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
ZoranPandovski
ZoranPandovski commented Mar 16, 2022

Introduction 📝 📈 🔧 🏗️

This tutorial should go over training a model using MindsDB that predicts Machine Failure. Example dataset can be found here.

Tutorial summary 🧾

The tutorial should follow the below steps 🔢 :

  • Connect
help wanted good first issue documentation looking for author
metaflow
kgullikson88
kgullikson88 commented Mar 22, 2022

I am using metaflow locally but with the AWS service (e.g. the actual compute is happening locally rather than in AWS batch but the metadata is using AWS). When I access the run data through run.data I get new local directories with names like metaflow.s3.w3efey1k, which I presume is because metaflow pulls from S3 into that directory, and then un-pickles the result from there. Is there a way t

good first issue
SheldonXLD
SheldonXLD commented Dec 30, 2021

Is your feature request related to a problem? Please describe.
A clear and concise description of what the problem is.

to_csv is slow and cost lot storage

Describe the solution you'd like
A clear and concise description of what you want to happen, ideally taking into consideration the existing toolbox design, classes and methods.

use to_feather to make it more efficient and sm

enhancement good first issue
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?

vlin-lgtm
vlin-lgtm commented Mar 3, 2022

Is your feature request related to a problem? Please describe.
Currently in feature_store.yaml, we can only specify a region for DynamoDB provider. As a result, it requires an actual DynamoDB to be available when we want to do local development/testing or integration testing in a sandbox environment.

Describe the solution you'd like
A way to solve this is to let user pass an endpoint

kind/feature good first issue
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Wikipedia