Unanswered Questions tagged with Amazon SageMaker Model Training
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Hi!
As of a few days ago, the "**Uploading**" phase of my SageMaker training jobs jumped from **2 minutes to 3+ hours.** The size of my artifacts did not change, but I did enable check-pointing...
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82
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asked a year agolg...
I am implementing a sagemaker tuner for a previously implemented custom estimator that uses spot instances with sagemaker's python sdk. Since until now there is one estimator per submitted training...
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88
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asked 2 years agolg...
I am trying to generate the XGBoost training report to see feature importances however the following code only generates the profiler report.
```
import boto3, re, sys, math, json, os, sagemaker,...
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167
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asked 2 years agolg...
This post is both a bug report and a question.
We are trying to use SageMaker to train a model and everything is quite standard. Since we have a lot of images, we'll suffer from a super long image...
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91
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asked 2 years agolg...
Currently, we are trying to SK-Learn model from a python script running in a local computer by uploading data to S3 bucket.
```
from sagemaker.amazon.amazon_estimator import get_image_uri
# container...
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100
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asked 2 years agolg...
I recently tried the smddp v1.4.0 on SageMaker notebook instance (not sagemaker studio), using 8-GPU instances `ml.p3.16xlarge`, by directly using `smddp` as backend in the training scripts. I...
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115
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asked 2 years agolg...
I'm creating a pipeline with multiple steps
One to preprocess a dataset and the other one takes the preprocessed one as an input to train a BlazingText model for classification
My first...
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87
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asked 2 years agolg...
The DeepAR documentation page mentions the option of using Parquet format to providing datasets to DeepAR.
But the details are extremely terse.
I would like to use DeepAR with a fairly large dataset,...
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136
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asked 2 years agolg...