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| # ====================== GENERAL ====================== | |
| # Import additional configuration files | |
| # import = [] | |
| # The path of your favorite shell | |
| [shell] | |
| # Example | |
| program = "/bin/zsh" | |
| args = ["-l"] |
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| import asyncio | |
| from datetime import datetime | |
| import prefect | |
| from prefect import flow, task | |
| @task(name="set flow run name task") | |
| async def set_flow_run_name(name: str) -> None: | |
| """Set user specify flow run name.""" |
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| FROM python:3.6-slim-buster | |
| RUN apt-get update \ | |
| && apt-get install -y --no-install-recommends gcc g++ | |
| RUN pip3 install pandas numpy joblib scikit-learn cython | |
| RUN pip3 install fastFM | |
| ADD scratch_container/scratch_container_training_script.py scratch_container_training_script.py |
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| from __future__ import absolute_import | |
| import json | |
| import os | |
| import sys | |
| import joblib | |
| import numpy as np | |
| import pandas as pd | |
| from fastFM.mcmc import FMClassification |
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| FROM python:3.6-slim-buster | |
| RUN apt-get update \ | |
| && apt-get install -y --no-install-recommends gcc g++ | |
| RUN pip3 install pandas numpy joblib scikit-learn cython | |
| RUN pip3 install fastFM | |
| RUN pip3 install sagemaker-training | |
| ADD custom_toolkit_container/custom_toolkit_container_training_script.py /opt/ml/code/custom_toolkit_container_training_script.py |
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| import argparse | |
| import os | |
| import joblib | |
| import numpy as np | |
| import pandas as pd | |
| from fastFM.mcmc import FMClassification | |
| from sagemaker_training import environment | |
| from sklearn.metrics import log_loss | |
| from sklearn.preprocessing import OneHotEncoder |
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| %%sh | |
| # Specify an algorithm name | |
| algorithm_name=$1 | |
| dockerfiler=$2 | |
| account=$(aws sts get-caller-identity --query Account --output text) | |
| # Get the region defined in the current configuration (default to us-west-2 if none defined) |
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