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As reported in https://github.com/ogrisel/pygbm/issues/30#issuecomment-436184680 , the scalability of pygbm is not as good as LightGBM.
Here are some results on a machine with the following CPUs:
…
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I don't see any datasets in MLPERF, which can be solved with classical machine learning algorithms ( e.g. Linear or Logistic Regression, Decision Trees, Random Forest etc.).
Some examples of datasets…
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# Call for new benchmarks
The goal is to develop, test, deploy and evaluate Machine Learning benchmarks on a wide range of computing platforms. These benchmarks will be a starting point for explori…
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### Ticket Contents
## Description
Government schools in India often face challenges in accurately recording and monitoring teacher attendance, leading to inefficiencies in resource allocation and…
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# RFW0092: Tracking Mt model and creating documentation of the MT training pipeline
## Named Concepts
hyperparameter:
A hyperparameter is a machine learning parameter that is chosen before a le…
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Hi @LaurenzBeck,
I am posting some relevant comments you may consider when revising your software paper, which is currently under review in JOSS.
According to https://github.com/pytorch/vision,…
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### **Descrição**
Benchmark comparando as seguintes ferramentas de MLOps:
MLflow
Kubeflow
Metaflow
Sage Maker
Google Cloud AI Platform - Vertex AI concorrente Sagemaker
Azure Machine learning
DVC
Se…
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Hello there,
I want to run a number of machine learning algorithms with different feature selection methods on survival data using the MLR3 package. For that, I am using the Benchmark() function of…
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# Challenge 21 - Diffusion Models on WeatherBench
> **Stream 2** - Machine Learning for Earth Science
### Goal
Develop code and models for diffusion models to predict weather patterns on Wea…
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> Advanced machine learning models applied to large-scale genomics datasets hold the promise to be major drivers for genome science. Once trained, such models can serve as a tool to probe the relation…