diff --git a/README.rst b/README.rst index c939505..93328a8 100755 --- a/README.rst +++ b/README.rst @@ -9,8 +9,8 @@ Kriging Toolkit for Python .. image:: https://anaconda.org/conda-forge/pykrige/badges/version.svg :target: https://github.com/conda-forge/pykrige-feedstock -.. image:: https://readthedocs.org/projects/pykrige/badge/?version=latest - :target: http://pykrige.readthedocs.io/en/latest/?badge=latest +.. image:: https://readthedocs.org/projects/pykrige/badge/?version=stable + :target: http://pykrige.readthedocs.io/en/stable/?badge=stable :alt: Documentation Status .. image:: https://travis-ci.org/bsmurphy/PyKrige.svg?branch=master @@ -31,7 +31,7 @@ point and all grid points. With the 'functional' drift capability, the user may of the spatial coordinates that define the drift(s). The package includes a module that contains functions that should be useful in working with ASCII grid files (`*.asc`). -See the `documentation `_ for more details. +See the documentation at `http://pykrige.readthedocs.io/en/stable/ `_ for more details. Installation ^^^^^^^^^^^^ @@ -182,7 +182,7 @@ Kriging Parameters Tuning A scikit-learn compatible API for parameter tuning by cross-validation is exposed in `sklearn.model_selection.GridSearchCV `_. -See the `Krige CV `_ +See the `Krige CV `_ example for a more practical illustration. @@ -195,7 +195,7 @@ This class takes as parameters a scikit-learn regression model, and details of e the ``OrdinaryKriging`` or the ``UniversalKriging`` class, and performs a correction steps on the ML regression prediction. A demonstration of the regression kriging is provided in the -`corresponding example `_. +`corresponding example `_. License ^^^^^^^