gokart-pipeliner 0.0.3

gokart pipeline

gokart-pipeliner

gokart pipeline project

Usage

Please show SampleTask.py or Eaxmple.ipynb

from gokart_pipeliner import GokartPipeliner
from ExampleTasks import *

# make pipeline
preprocess = [TaskA, {'task_b': TaskB, 'task_c': TaskC}, TaskD]
modeling = preprocess + [TaskE, {'task_f': TaskF}, TaskF]
predict = [{'model': modeling, 'task_a': TaskA}, TaskG]

# instantiation (setting static params)
params = {'TaskA': {'param1':0.1, 'param2': 'sample'}, 'TaskD': {'param1': 'foo'}}
config_path_list = ['./conf/param.ini']
gp = GokartPipeliner(
    params=params,
    config_path_list=config_path_list)

# run (setting dynamic params)
running_params = {'TaskB': {'param1':'bar'}}
gp.run(predict, params=running_params)

task example

class Task(gokart.TaskOnKart):
    foo = gokart.TaskInstanceParameter()

    def run(self):
        x = self.load('foo')
        self.dump(x)

write requires

If you say "want to write requires" or "want to reuse existing tasks", we can use override_requires parameter.

params = {'ExistingTask': {'override_requires': False}}
gp.run([ExistingTask], params=params)

for jupyter notebook

off logger

gp.run([Task], params=params, verbose=False)

Develop

pip install poetry
pip install poetry-dynamic-versioning

# poetry install
poetry build
# poetry lock