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@ -533,7 +533,7 @@ and accuracy values of several experiments.
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In an experiment comparison page, under the **HYPER PARAMETERS** tab, you can view the experiments' hyperparameter values
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in relation to a specific metric (e.g. accuracy) in a parallel coordinates plot.
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The image below show a parallel coordinates plot which displays the values of selected hyperparameters (`base_lr`,
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The image below shows a parallel coordinates plot which displays the values of selected hyperparameters (`base_lr`,
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`batch_size`, and `number_of_epochs`) and a performance metric (`accuracy`) of three experiments.
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@ -18,21 +18,20 @@ title: Quick Introduction
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<details className="cml-expansion-panel info">
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<summary className="cml-expansion-panel-summary">Read the transcript</summary>
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<div className="cml-expansion-panel-content">
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ClearML is an open source MLOPS platform.
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It's essentially a toolbox stuffed with everything you'll need to go from experimentation to production.
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It's essentially a toolbox stuffed with everything you'll need to go from experimentation to production:
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There's a fully fledged experiment manager that can log, compare and automatically reproduce any experiment you do,
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a data versioning tool that can track changes to your data sets and makes them easily accessible to anyone on any machine.
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Orchestrate pipelines from code.
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Run hyper parameter optimization and auto scale remote workers on AWS, GCP and Azure.
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* There's a fully fledged experiment manager that can log, compare, and automatically reproduce any experiment you do
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* A data versioning tool that can track changes to your datasets and makes them easily accessible to anyone on any machine
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* Orchestrate pipelines from code
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* Run hyperparameter optimization
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* and auto scale remote workers on AWS, GCP and Azure.
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Doesn't matter if you're starting small or already in production, there's always a ClearML tool that can make your life easier.
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Start for free at app.clear.ml or host your own server from our Github page.
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Start for free at app.clear.ml or host your own server from our GitHub page.
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</div>
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</details>
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@ -81,8 +81,8 @@ To draw a new annotation
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Each click sets polygon vertices on the frame. Click again on the initial vertex to close the polygon.
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* <img src="/docs/latest/icons/ico-keypoint-icon-purple.svg" alt="Key points mode icon" className="icon size-md space-sm" /> - Key points mode:
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Each click adds a keypoint to the frame. After clicking the last keypoint, click <img src="/docs/latest/icons/ico-save.svg" alt="Check mark" className="icon size-md space-sm" /> or
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`Enter` to save the annotation. Click `Esc` to cancel the annotation.
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Each click adds a keypoint to the frame. After clicking the last keypoint, click <img src="/docs/latest/icons/ico-save.svg" alt="Check mark" className="icon size-md space-sm" />
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or <code>Enter</code> to save the annotation. Click <code>Esc</code> to cancel the annotation.
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A new annotation is created.
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@ -294,8 +294,8 @@ To draw a new annotation:
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Each click sets polygon vertices on the frame. Click again on the initial vertex to close the polygon.
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* <img src="/docs/latest/icons/ico-keypoint-icon-purple.svg" alt="Key points mode icon" className="icon size-md space-sm" /> - Key points mode:
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Each click adds a keypoint to the frame. After clicking the last keypoint, click <img src="/docs/latest/icons/ico-save.svg" alt="Check mark" className="icon size-md space-sm" /> or
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`Enter` to save the annotation. Click `Esc` to cancel the annotation.
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Each click adds a keypoint to the frame. After clicking the last keypoint, click <img src="/docs/latest/icons/ico-save.svg" alt="Check mark" className="icon size-md space-sm" />
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or <code>Enter</code> to save the annotation. Click <code>Esc</code> to cancel the annotation.
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A new annotation is created.
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