updating broken links to api doc in readme
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README.md
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README.md
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@ -14,7 +14,7 @@ for facilitating the analysis and interpretation of the experimental results.
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### Last updates:
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* Version 0.1.9 is released! major changes can be consulted [here](CHANGE_LOG.txt).
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* The developer API documentation is available [here](https://hlt-isti.github.io/QuaPy/build/html/modules.html)
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* The developer API documentation is available [here](https://hlt-isti.github.io/QuaPy/index.html)
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### Installation
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@ -67,7 +67,8 @@ class prevalence of the training set. For this reason, any quantification model
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should be tested across many samples, even ones characterized by class prevalence
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values different or very different from those found in the training set.
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QuaPy implements sampling procedures and evaluation protocols that automate this workflow.
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See the [documentation](https://hlt-isti.github.io/QuaPy/build/html/) for detailed examples.
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See the [documentation](https://hlt-isti.github.io/QuaPy/manuals/protocols.html)
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and the [examples directory](https://github.com/HLT-ISTI/QuaPy/tree/master/examples) for detailed examples.
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## Features
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@ -100,18 +101,18 @@ In case you want to contribute improvements to quapy, please generate pull reque
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## Documentation
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The [developer API documentation](https://hlt-isti.github.io/QuaPy/build/html/modules.html) is available [here](https://hlt-isti.github.io/QuaPy/build/html/index.html).
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The developer API documentation is available [here](https://hlt-isti.github.io/QuaPy/).
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Check out our [Wiki](https://github.com/HLT-ISTI/QuaPy/wiki), in which many examples
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Check out our [Wiki](https://hlt-isti.github.io/QuaPy/manuals.html), in which many examples
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are provided:
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* [Datasets](https://github.com/HLT-ISTI/QuaPy/wiki/Datasets)
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* [Evaluation](https://github.com/HLT-ISTI/QuaPy/wiki/Evaluation)
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* [Protocols](https://github.com/HLT-ISTI/QuaPy/wiki/Protocols)
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* [Methods](https://github.com/HLT-ISTI/QuaPy/wiki/Methods)
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* [SVMperf](https://github.com/HLT-ISTI/QuaPy/wiki/ExplicitLossMinimization)
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* [Model Selection](https://github.com/HLT-ISTI/QuaPy/wiki/Model-Selection)
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* [Plotting](https://github.com/HLT-ISTI/QuaPy/wiki/Plotting)
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* [Datasets](https://hlt-isti.github.io/QuaPy/manuals/datasets.html)
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* [Evaluation](https://hlt-isti.github.io/QuaPy/manuals/evaluation.html)
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* [Explicit loss minimization](https://hlt-isti.github.io/QuaPy/manuals/explicit-loss-minimization.html)
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* [Methods](https://hlt-isti.github.io/QuaPy/manuals/methods.html)
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* [Model Selection](https://hlt-isti.github.io/QuaPy/manuals/datasets.html)
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* [Plotting](https://hlt-isti.github.io/QuaPy/manuals/plotting.html)
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* [Protocols](https://hlt-isti.github.io/QuaPy/manuals/protocols.html)
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## Acknowledgments:
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2
setup.py
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setup.py
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@ -160,7 +160,7 @@ setup(
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'Contributors': 'https://github.com/HLT-ISTI/QuaPy/graphs/contributors',
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'Bug Reports': 'https://github.com/HLT-ISTI/QuaPy/issues',
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'Wiki': 'https://github.com/HLT-ISTI/QuaPy/wiki',
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'Documentation': 'https://hlt-isti.github.io/QuaPy/build/html/index.html',
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'Documentation': 'https://hlt-isti.github.io/QuaPy/',
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'Source': 'https://github.com/HLT-ISTI/QuaPy/',
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},
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)
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