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train_blueprint.yaml
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---
title: Document Classification Train
version: 1.0.0
description: Train a custom model on a set of documents to classify their textual content
long_description: Train a custom model on a set of .pdf, .txt, .docx, and .doc documents, and deploy an endpoint, which can be used to classify the textual content of document files.
author: "cnvrg"
author_email: "info@cnvrg.io"
tags:
- training
tasks:
- title: S3 Connector
top: 300
left: 200
# Type must be according to the flow task conventions (data, exec, deploy)
type: exec
# The library data
library: s3-connector
library_version: 1.0.0
# The flattened library parameters (in this case we have training library)
command: python s3-connector.py
requirements:
cpu: 3.5
memory: 7
gpu: 0
hpu: 0
image: cnvrg/cnvrg:v5.0
language: python3
# The "arguments" property changes to "params", rest remains the same.
# Params in the blueprint yaml can be used to override the arguments in the library.
params:
- key: endpoint
type: 'categorical'
values:
- 'http://s3.amazonaws.com download'
- key: bucketname
type: 'categorical'
values:
- 'libhub-readme'
- key: localdir
type: 'categorical'
values:
- '/cnvrg'
- key: prefix
type: 'categorical'
values:
- 'dc_classification_train_data/'
- title: Train
top: 300
left: 400
type: exec
library: dc-train
library_version: 1.0.0
command: python3 train.py
requirements:
cpu: 3.5
memory: 7.5
gpu: 0
hpu: 0
image: cnvrg/cnvrg:v5.0
language: python3
params:
- key: documents_dir
type: 'categorical'
values:
- '/input/s3_connector/dc_classification_train_data'
- key: labels
type: 'discrete'
values:
- '/input/s3_connector/dc_classification_train_data/labels.csv'
- title: Inference
top: 400
left: 500
type: deploy
library: dc-train-inference
library-version: 1.0.0
kind: webservice
requirements:
cpu: 3.5
memory: 8
gpu: 0
hpu: 0
image: cnvrg/cnvrg:v5.0
language: python3
accept_files: false
gunicorn_config:
- key: workers
value: '1'
file_name: predict.py
function_name: predict
prep_file: ''
prep_function: ''
input_example:
context: text
input_schema:
context: text
output_schema: {}
relations:
- from: S3 Connector
to: Train
- from: Train
to: Inference