Use this tag for questions about the machine-learning platform MLflow
Questions tagged [mlflow]
722 questions
6
votes
3 answers
MLFlow - How to migrate or copy a run from one experiment to other?
I am trying to move a run in MLflow from one experiment to another. Does anybody know if its possible? If yes, how? (I use Python API)
Kıvanç Yüksel
- 701
- 7
- 17
6
votes
2 answers
Set user_id in Mlflow
I am running MLflow with several users can instanciate experiments.
Is there any way to override user_id which is set to system username?
Looking for a solution which works with start_run block.
Any ideas?
with mlflow.start_run():
Martin Gran
- 241
- 1
- 2
- 5
6
votes
2 answers
MLflow change experiment id
I am unable to change the experiment id of a MLflow experiment.
Currently, I am running the following code to create an experiment before logging:
mlflow.set_experiment(experiment_name="my_model")
with mlflow.start_run():
#train model
Doing so…
MDan
- 295
- 2
- 13
6
votes
2 answers
mlflow R installation MLFLOW_PYTHON_BIN
I am trying to install mlflow in R and im getting this error message saying
mlflow::install_mlflow()
Error in mlflow_conda_bin() :
Unable to find conda binary. Is Anaconda installed?
If you are not using conda, you can set the…
user10486706
- 137
- 9
6
votes
3 answers
How to get current run_id inside of mlflow.start_run()?
mlflow.active_run() returns nothing so I can't just use
current_rui_id = mlflow.active_run().info.run_id
I have to get run_id inside of this construction for being able to continue logging parameters, metrics and artifacts inside of another block…
OnlyDryClean Codzy
- 943
- 1
- 10
- 19
5
votes
1 answer
When to use mlflow.set_tag() vs mlflow.log_params()?
I am confused about the usecase of mlflow.set_tag() vs mlflow.log_params() as both takes key and value pair. Currently, I use mlflow.set_tag() to set tags for data version, code version, etc and mlflow.log_params() to set model training parameters…
Manas
- 888
- 10
- 20
5
votes
1 answer
how to save mlflow metrics and paramters to an s3 bucket without a server?
I want to save the parameters and metrics gotten from mlflow into an s3 bucket. Usually I get these from setting the tracking_uri in mlflow and that saves it on a server but I can't have a server in this case(was told no) and just want to store my…
Beans_in_my_shoes
- 51
- 1
- 4
5
votes
2 answers
How can I load the latest model version from MLflow model registry?
I can load a specific version of a model using the mlflow client:
import mlflow
model_version = 1
model = mlflow.pyfunc.load_model(
model_uri=f"models:/c3760a15e6ac48f88ad7e5af940047d4/{model_version}"
)
But is there a way to load the latest…
Vincent Claes
- 3,960
- 3
- 44
- 62
5
votes
0 answers
How to download an artifact from MLFlow using REST?
I see the Python API:
download_artifacts(run_id: str, path: str, dst_path: Optional[str] = None) → str (here), but I can't find the equivalent in REST.
Nestor
- 13,706
- 11
- 78
- 119
5
votes
2 answers
How to download artifacts from mlflow in python
I am creating an mlflow experiment which logs a logistic regression model together with a metric and an artifact.
import mlflow
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import precision_recall_fscore_support
with…
quant
- 4,062
- 5
- 29
- 70
5
votes
2 answers
How to add more metrics to a finished MLflow run?
Once an MLflow run is finished, external scripts can access its parameters and metrics using python mlflow client and mlflow.get_run(run_id) method, but the Run object returned by get_run seems to be read-only.
Specifically, .log_param .log_metric,…
mirekphd
- 4,799
- 3
- 38
- 59
5
votes
4 answers
No Artifacts Recorded MLFlow
I am unable to store, view, and retrieve the artifacts in MLFlow. The artifact folder is empty irrespective of creating a new experiment and assign proper experiment name and location.
Server: mlflow server --backend-store-uri mlruns/…
Floura Angel
- 99
- 2
- 6
5
votes
1 answer
MLflow: Why can't backend-store-uri be an s3 location?
I'm new to mlflow and I can't figure out why the artifact store can't be the same as the backend store?
The only reason I can think of is to be able to query the experiments with SQL syntax... but since we can interact with the runs using mlflow ui…
Kiran Sanjeevan
- 149
- 1
- 7
5
votes
1 answer
Deploying MLflow Model without Conda environment
Currently working on deploying my MLflow Model in a Docker container. The Docker container is set up with all the necessary dependencies for the model so it seems redundant for MLflow to also then create/activate a conda environment for the model.…
Conor
- 111
- 2
- 6
5
votes
1 answer
MLflow: active run ID does not match environment run ID
OS: Ubuntu 18
Python: Python 3.6
MLflow: 1.4
I'm trying to get MLflow Projects to run. Here is my project:
MLflow
conda.yaml
main.py
prep_data.py
learn.py
List item
The project is heavily based up on this repo:…
Raphael Hippe
- 4,535
- 4
- 13
- 17