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History: Creating Machine Learning Models
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Source of version: 5
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^This page ((needs review))^ Machine Learning models are created to be configured and trained for performing specific tasks like making prediction or generating probability estimates. ! Creating Machine Learning Models After you prepare a dataset, you are ready to create a Machine Learning model. Start this by going to __List Models__ page and click on the __New__ button. This will take you to the model creation page. {img src="display1896" link="display1896" width="400" rel="box[g]" imalign="center" desc="Click on New to create a model" align="center" styleimage="border"} {img src="display1897" link="display1897" width="400" rel="box[g]" imalign="center" desc="Model creation page" align="center" styleimage="border"} Enter a name for the model, for example, Divorce Predictor; and also a description. Then specify the source tracker. {img src="display1898" link="display1898" width="400" rel="box[g]" imalign="center" desc="Select a tracker to be used as data source for model" align="center" styleimage="border"} This will be a tracker you have already prepared to use as the dataset for training the model. See ((Preparing Machine Learning Dataset)) for information how to prepare a dataset tracker. Keep in mind that the selected source tracker can not be changed after the model has been created. !! Using Model Template Every model you create require further configuration that involves setting your preferred learner and transformers depending on the task the model is to perform. To make this process easier, Tiki includes some predefined configurations called model templates. To use a template, choose the one that matches your criteria from the Model template dropdown or select __Start with a blank model__ to create the model without a template. {img src="display1899" link="display1899" width="400" rel="box[g]" imalign="center" desc="Select a model template or start with blank" align="center" styleimage="border"} Tiki will create the model after you click on the __Create__ button and will display the model configuration page. You can then go on to configuring the model as described in ((Configuring Machine Learning Models)) !! Cloning an existing model You can also create a new model from existing model through cloning. This approach is useful if you want to have a new model that is similar in configuration to an existing one. To clone a model, go to the __List Models__ page and click on the __Actions__ button of the model you wish to clone then select __Clone__. {img src="display1900" link="display1900" width="400" rel="box[g]" imalign="center" desc="Click clone in action menu to open model cloning page" align="center" styleimage="border"} {img src="display1901" link="display1901" width="400" rel="box[g]" imalign="center" desc="Model cloning page" align="center" styleimage="border"} !! Related links * ((Machine Learning)) * ((Preparing Machine Learning Dataset)) * ((Configuring Machine Learning Models)) * ((Training Machine Learning Models)) * ((Using Machine Learning Models))
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