Issues Policy acknowledgement

• I have read and agree to submit bug reports in accordance with the issues policy

Willingness to contribute

Yes. I would be willing to contribute a fix for this bug with guidance from the MLflow community.

MLflow version

• Client: 1.x.y
• Tracking server: 1.x.y

System information

• OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
• Python version:
• yarn version, if running the dev UI:

Describe the problem

mlflow run_recipe_step raising an error “The system cannot find the file specified”(mlflow\recipes\recipe.py:87) while executing “classification” model on wine data set. The code is exact copy of mlflow github “https://github.com/mlflow/recipes-examples/tree/main/classification”.

the proper has been defined in local.yaml file already as below INGEST_CONFIG:

For different options please read: https://github.com/mlflow/recipes-classification-template#ingest-step

using: csv location: [“./data/winequality-white.csv”, “./data/winequality-red.csv”] loader_method: load_file_as_dataframe

Tracking information

No response

Code to reproduce issue

%load_ext autoreload %autoreload 2 from mlflow.recipes import Recipe import os r = Recipe(profile=“local”) r.clean() r.inspect()

r.run(“ingest”)

Stack trace

FileNotFoundError Traceback (most recent call last) Cell In[6], line 1 ----> 1 r.run(“ingest”)

File c:\Users\M1097476\AppData\Local\Programs\Python\Python310\lib\site-packages\mlflow\recipes\classification\v1\recipe.py:267, in ClassificationRecipe.run(self, step) 195 def run(self, step: str = None) -> None: 196 “”" 197 Runs the full recipe or a particular recipe step, producing outputs and displaying a 198 summary of results upon completion. Step outputs are cached from previous executions, and (…) 265 classification_recipe.run() 266 “”" –> 267 return super().run(step=step)

File c:\Users\M1097476\AppData\Local\Programs\Python\Python310\lib\site-packages\mlflow\recipes\recipe.py:87, in _BaseRecipe.run(self, step) 85 self._steps = self._resolve_recipe_steps() 86 target_step = self._get_step(step) if step else self._get_default_step() —> 87 last_executed_step = run_recipe_step( 88 self._recipe_root_path, 89 self._get_subgraph_for_target_step(target_step), 90 target_step, 91 self._recipe, 92 ) 94 self.inspect(last_executed_step.name) … 1455 self._close_pipe_fds(p2cread, p2cwrite, 1456 c2pread, c2pwrite, 1457 errread, errwrite) FileNotFoundError: [WinError 2] The system cannot find the file specified

Other info / logs

No response

What component(s) does this bug affect?

• area/artifacts: Artifact stores and artifact logging
• area/build: Build and test infrastructure for MLflow
• area/docs: MLflow documentation pages
• area/examples: Example code
• area/model-registry: Model Registry service, APIs, and the fluent client calls for Model Registry
• area/models: MLmodel format, model serialization/deserialization, flavors
• area/recipes: Recipes, Recipe APIs, Recipe configs, Recipe Templates
• area/projects: MLproject format, project running backends
• area/scoring: MLflow Model server, model deployment tools, Spark UDFs
• area/server-infra: MLflow Tracking server backend
• area/tracking: Tracking Service, tracking client APIs, autologging

What interface(s) does this bug affect?

• area/uiux: Front-end, user experience, plotting, JavaScript, JavaScript dev server
• area/docker: Docker use across MLflow’s components, such as MLflow Projects and MLflow Models
• area/sqlalchemy: Use of SQLAlchemy in the Tracking Service or Model Registry
• area/windows: Windows support

What language(s) does this bug affect?

• language/r: R APIs and clients
• language/java: Java APIs and clients
• language/new: Proposals for new client languages

What integration(s) does this bug affect?

• integrations/azure: Azure and Azure ML integrations
• integrations/sagemaker: SageMaker integrations
• integrations/databricks: Databricks integrations