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mirror of https://github.com/microsoft/qlib.git synced 2026-06-06 05:51:17 +08:00
This commit is contained in:
Jactus
2020-11-27 21:19:27 +08:00
parent 8b281957b0
commit 10747a3219
2 changed files with 9 additions and 8 deletions

View File

@@ -28,7 +28,8 @@ from qlib.utils import exists_qlib_data
# init qlib
provider_uri = "~/.qlib/qlib_data/cn_data"
exp_path = str(Path(os.getcwd()).resolve() / "run_all_model_records")
exp_folder_name = "run_all_model_records"
exp_path = str(Path(os.getcwd()).resolve() / exp_folder_name)
exp_manager = {
"class": "MLflowExpManager",
"module_path": "qlib.workflow.expm",
@@ -253,7 +254,7 @@ def run(times=1, models=None, exclude=False):
for i in range(times):
sys.stderr.write(f"Running the model: {fn} for iteration {i+1}...\n")
errs = execute(
f"{python_path} {env_path / 'src/pyqlib/qlib/workflow/cli.py'} {yaml_path} {fn} '{exp_manager}'"
f"{python_path} {env_path / 'src/pyqlib/qlib/workflow/cli.py'} {yaml_path} {fn} {exp_folder_name}"
)
if errs is not None:
_errs = errors.get(fn, {})

View File

@@ -1,13 +1,14 @@
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
import sys
import sys, os
from pathlib import Path
import qlib
import fire
import pandas as pd
import ruamel.yaml as yaml
from qlib.config import C
from qlib.model.trainer import task_train
@@ -41,7 +42,7 @@ def sys_config(config, config_path):
# worflow handler function
def workflow(config_path, experiment_name="workflow", exp_manager=None):
def workflow(config_path, experiment_name="workflow", uri_folder="mlruns"):
with open(config_path) as fp:
config = yaml.load(fp, Loader=yaml.Loader)
@@ -50,10 +51,9 @@ def workflow(config_path, experiment_name="workflow", exp_manager=None):
provider_uri = config.get("provider_uri")
region = config.get("region")
if exp_manager:
qlib.init(provider_uri=provider_uri, region=region, exp_manager=exp_manager)
else:
qlib.init(provider_uri=provider_uri, region=region)
exp_manager = C["exp_manager"]
exp_manager["kwargs"]["uri"] = "file:" + str(Path(os.getcwd()).resolve() / uri_folder
qlib.init(provider_uri=provider_uri, region=region, exp_manager=exp_manager)
task_train(config, experiment_name=experiment_name)