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Discussed in microsoft/nni#4070
Originally posted by ZhiyuanChen August 14, 2021
[2021-08-14 10:13:41] INFO (NNIDataStore) Datastore initialization done
[2021-08-14 10:13:41] INFO (RestServer) RestServer start
[2021-08-14 10:13:41] INFO (RestServer) RestServer base port is 8080
[2021-08-14 10:13:41] I
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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Jul 1, 2021 - 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 au
- A better name date of birth column in our mock dataset would be
birthday.
TimeSeries Split
The problem I want to use auto-sklearn on is a time-series. Can we modify sklearn to include cv with time series?
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
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Oct 6, 2021 - Jupyter Notebook
Google Brain AutoML
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Sep 26, 2021 - Jupyter Notebook
Currently, the delete_datasource API is returning 400 if some error occurs. We need to improve the response by adding the title and details using http_error wrapper. You can check the similar example in put predictor API
When running TabularPredictor.fit(), I encounter a BrokenPipeError for some reason.
What is causing this?
Could it be due to OOM error?
Fitting model: XGBoost ...
-34.1179 = Validation root_mean_squared_error score
10.58s = Training runtime
0.03s = Validation runtime
Fitting model: NeuralNetMXNet ...
-34.2849 = Validation root_mean_squared_error score
43.63s =
Differentiable architecture search for convolutional and recurrent networks
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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
A curated list of automated machine learning papers, articles, tutorials, slides and projects
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Sep 10, 2021
Add auto ML support
Description
We want to add support for auto ML. My suggestion is to use autokeras. I'm letting this open for newcomers who want to contribute to this project.
The parameters of the model need to be read from a yaml file (check utils.py in igel, there is a helper function to read a yaml or json file). These parameters will be used to construct and train a model. The results should be th
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
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Jan 15, 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.
Time Series Forecasting Best Practices & Examples
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Aug 25, 2021 - Python
Merlion: A Machine Learning Framework for Time Series Intelligence
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Sep 30, 2021 - Python
Provide an input CSV and a target field to predict, generate a model + code to run it.
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Oct 22, 2019 - Python
A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.
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Sep 17, 2021 - Python
Details in discussion mljar/mljar-supervised#421
[UNMAINTAINED] Automated machine learning for analytics & production
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Feb 10, 2021 - Python
Is it possible to set a splitter or a iterable when fitting?
Open-source implementation of Google Vizier for hyper parameters tuning
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Nov 11, 2019 - Jupyter Notebook
Official Implementation of 'Fast AutoAugment' in PyTorch.
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Jun 16, 2021 - Python
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
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Sep 19, 2021 - Python
Automated deep learning algorithms implemented in PyTorch.
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Oct 4, 2021 - Python
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
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Feb 26, 2021 - Python
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Ray Component
Ray Serve
What happened + What you expected to happen
See repro script, a fix would be avoid reconfiguring when there are inflight queries. Additionally, we should consider not accepting new queries when reconfigure is being called.
Reprod