automl
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Feb 6, 2022 - Python
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Feb 6, 2022 - Python
Feature Description
We want to enable the users to specify the value ranges for any argument in the blocks.
The following code example shows a typical use case.
The users can specify the number of units in a DenseBlock to be either 10 or 20.
Code Example
import auIt seems there is no validation on fit_ensemble when ensemble size is 0, causing an issue to appear as seen in #1327
transform_primitive.pyis becoming very large. I suggest splitting out into separate files.- We could split this file up by groups (such as LatLong transform primitives in 1 file).
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Feb 6, 2022 - Jupyter Notebook
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Dec 15, 2021 - Jupyter Notebook
A tutorial on how AutoML in the database will help developers, data scientists, and data engineers.
Related: awslabs/autogluon#1479
Add a scikit-learn compatible API wrapper of TabularPredictor:
- TabularClassifier
- TabularRegressor
Required functionality (may need more than listed):
- init API
- fit API
- predict API
- works in sklearn pipelines
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Jan 3, 2021 - Python
We would like to forward a particular 'key' column which is part of the features to appear alongside the predictions - this is to be able to identify to which set of features a particular prediction belongs to. Here is an example of predictions output using the tensorflow.contrib.estimator.multi_class_head:
{"classes": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"],
"scores": [0.068196
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Jan 3, 2022
Hello everyone,
First of all, I want to take a moment to thank all contributors and people who supported this project in any way ;) you are awesome!
If you like the project and have any interest in contributing/maintaining it, you can contact me here or send me a msg privately:
- Email: nidhalbacc@gmail.com
PS: You need to be familiar with python and machine learning
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Jan 15, 2021 - Python
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Feb 4, 2022 - Python
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Dec 17, 2021 - Python
Problem
Some of our transformers & estimators are not thoroughly tested or not tested at all.
Solution
Use OpTransformerSpec and OpEstimatorSpec base test specs to provide tests for all existing transformers & estimators.
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Jan 21, 2022 - Python
This issue has been coming up when I use,
automl.predict_proba(input)
I am using the requirements.txt in venv. Shouldn't input have feature names?
This message did not used to come up and I don't know why.
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Oct 22, 2019 - Python
In principle it seems getting the parameters from FLAML to C# LightGBM seems to work, but I dont have any metrics yet. The names of parameters are slightly different but documentation is adequate to match them. Microsoft.ML seems to have version 2.3.1 of LightGBM.
Another approach that might be useful, especially for anyone working with .NET, would be having some samples about conversion to ONN
Contact Details [Optional]
Describe the feature you'd like
Currently our CLI offers a way to install the python packages that are required for a given integration. However, some of our integrations also have system requirements that are necessary to make them work (graphviz, kubectl, etc. ).
All system requirements should be listed on an integration level, just
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Feb 10, 2021 - Python
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Jun 16, 2021 - Python
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Nov 23, 2021 - Python
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Nov 11, 2019 - Jupyter Notebook
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Oct 25, 2021 - Python
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According to FastAPI's docs,
response_modelcan accept type annotations that are not pydantic models. However, the code referenced below is checking for the__fields__attribute, which won't be on type annotations such aslist[float], for example.https://github.com/ray-project/ray/blob/e60a5f52eb93c851b186cb78fa1f70d