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Copy file name to clipboardExpand all lines: docs/src/index.md
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# MLFlowClient
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[MLFlowClient](https://github.com/JuliaAI/MLFlowClient.jl) is a [Julia](https://julialang.org/) package for working with [MLFlow](https://mlflow.org/) using the REST [API v2.0](https://www.mlflow.org/docs/latest/rest-api.html).
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`MLFlowClient` allows you to create and manage `MLFlow` experiments, runs, and log metrics and artifacts. If you are not familiar with `MLFlow` and its concepts, please refer to [MLFlow documentation](https://mlflow.org/docs/latest/index.html).
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## Limitations
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- no authentication support.
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- when storing artifacts, the assumption is that MLFlow and this library run on the same server. Artifacts are stored using plain filesystem operations. Therefore, `/mlruns` or the specified `artifact_location` must be accessible to both the MLFlow server (read), and this library (write).
Copy file name to clipboardExpand all lines: src/runs.jl
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# Keywords
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- `filter::String`: filter as defined in [MLFlow documentation](https://mlflow.org/docs/latest/rest-api.html#search-runs)
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- `filter_params::AbstractDict{K,V}`: if provided, `filter` is automatically generated based on `filter_params` using [`generatefilterfromparams`](@ref). One can only provide either `filter` or `filter_params`, but not both.
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- `run_view_type::String`: one of `ACTIVE_ONLY`, `DELETED_ONLY`, or `ALL`.
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- `max_results::Integer`: 50,000 by default.
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- `order_by::String`: as defined in [MLFlow documentation](https://mlflow.org/docs/latest/rest-api.html#search-runs)
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