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<h2id="Next-step">Next step<aclass="anchor-link" href="#Next-step">¶</a></h2><p>After you saved the dataset here, go back to the <ahref="./0-Workflow.ipynb">0-Workflow.ipynb</a>to run the next step of the analysis.</p>
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<h2id="Next-step">Next step<aclass="anchor-link" href="#Next-step">¶</a></h2><p>After you saved the dataset here, run the next step in the workflow <ahref="./2-CalculateFeatures.ipynb">2-CalculateFeatures.ipynb</a>or go back to <ahref="./0-Workflow.ipynb">0-Workflow.ipynb</a>.</p>
Copy file name to clipboardExpand all lines: example1/1-CreateDataset.ipynb
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"metadata": {},
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"source": [
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"## Next step\n",
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"After you saved the dataset here, go back to the [0-Workflow.ipynb](./0-Workflow.ipynb) to run the next step of the analysis."
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"After you saved the dataset here, run the next step in the workflow [2-CalculateFeatures.ipynb](./2-CalculateFeatures.ipynb) or go back to [0-Workflow.ipynb](./0-Workflow.ipynb)."
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"source": [
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"---\n",
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"\n",
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"**Authors:** Peter W. Rose, Shih-Cheng Huang, UC San Diego, October 1, 2018\n",
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"**Authors:** [Peter W. Rose](mailto:pwrose.ucsd@gmail.com), Shih-Cheng Huang, UC San Diego, October 1, 2018\n",
<h2id="Next-step">Next step<aclass="anchor-link" href="#Next-step">¶</a></h2><p>After you saved the dataset here, go back to the <ahref="./0-Workflow.ipynb">0-Workflow.ipynb</a> to run the next step of the analysis.</p>
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<h2id="Next-step">Next step<aclass="anchor-link" href="#Next-step">¶</a></h2><p>After you saved the dataset here, run the next step in the workflow <ahref="./3-FitModel.ipynb">3-FitModel.ipynb</a>or go back go back to <ahref="./0-Workflow.ipynb">0-Workflow.ipynb</a>.</p>
Copy file name to clipboardExpand all lines: example1/2-CalculateFeatures.ipynb
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"metadata": {},
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"source": [
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"## Next step\n",
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"After you saved the dataset here, go back to the [0-Workflow.ipynb](./0-Workflow.ipynb) to run the next step of the analysis."
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"After you saved the dataset here, run the next step in the workflow [3-FitModel.ipynb](./3-FitModel.ipynb) or go back go back to [0-Workflow.ipynb](./0-Workflow.ipynb)."
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"source": [
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"---\n",
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"\n",
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"**Authors:** Peter W. Rose, Shih-Cheng Huang, UC San Diego, October 1, 2018\n",
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"**Authors:** [Peter W. Rose](mailto:pwrose.ucsd@gmail.com), Shih-Cheng Huang, UC San Diego, October 1, 2018\n",
<h2id="Next-Step">Next Step<aclass="anchor-link" href="#Next-Step">¶</a></h2><p>After you saved the classification model here, go back to the <ahref="./0-Workflow.ipynb">0-Workflow.ipynb</a>to run the next step of the analysis.</p>
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<h2id="Next-Step">Next Step<aclass="anchor-link" href="#Next-Step">¶</a></h2><p>After you saved the classification model here, run the next step in the workflow <ahref="./4-Predict.ipynb">4-Predict.ipynb</a>or go back go back to <ahref="./0-Workflow.ipynb">0-Workflow.ipynb</a>.</p>
Copy file name to clipboardExpand all lines: example1/3-FitModel.ipynb
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "31791fc7b90c40088bc8e281f4434ed4",
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"model_id": "3c60c6fc2644436ebf8b9b092e6f8612",
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"version_major": 2,
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"version_minor": 0
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"metadata": {},
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"source": [
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"## Next Step\n",
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"After you saved the classification model here, go back to the [0-Workflow.ipynb](./0-Workflow.ipynb) to run the next step of the analysis."
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"After you saved the classification model here, run the next step in the workflow [4-Predict.ipynb](./4-Predict.ipynb) or go back go back to [0-Workflow.ipynb](./0-Workflow.ipynb)."
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"source": [
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"---\n",
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"\n",
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"**Authors:** Peter W. Rose, Shih-Cheng Huang, UC San Diego, October 1, 2018\n",
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"**Authors:** [Peter W. Rose](mailto:pwrose.ucsd@gmail.com), Shih-Cheng Huang, UC San Diego, October 1, 2018\n",
<p>Note the limitations of the model (see <ahref="./3-FitModel.ipynb">3-FitModel.ipynb</a>). This is not a state-of-the art model to predict protein fold classes, rather it serves as an example how to create a reproducible and interactive workflow with Jupyter Notebooks.</p>
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