From 008677efadac14ca9369f9df094763bc08757720 Mon Sep 17 00:00:00 2001 From: Brewster Malevich Date: Thu, 8 Feb 2018 14:13:17 -0700 Subject: [PATCH] Update README with minor bug fix and format changes. --- README.rst | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/README.rst b/README.rst index 760ebeb..427b164 100644 --- a/README.rst +++ b/README.rst @@ -28,16 +28,16 @@ has three columns giving core depth (cm), sediment age (calendar years BP), and We can predict sea-surface temperatures (SST) from UK'37 with ``bsl.predict_sst()``:: - prediction = bsl.predict_sst(d['uk37'], prior_std=10) + prediction = bsl.predict_sst(d['uk37'], pstd=10) To see actual numbers from the prediction, directly parse ``prediction.ensemble`` or use ``prediction.percentile()`` to get the 5%, 50% and 95% percentiles. -You can also plot your predicition with ``bsl.predictplot()`` or ``bsl.densityplot()``. +You can also plot your prediction with ``bsl.predictplot()`` or ``bsl.densityplot()``. Alternatively, we can make inferences about UK'37 from SST with ``bsl.predict_uk()``:: - sst = np.arange(1, 35, 5) - prediction = bsl.predict_uk(sst) + sst = np.arange(1, 25) + prediction = bsl.predict_uk(sst) Installation @@ -45,7 +45,7 @@ Installation Install **baysplinepy** in ``conda`` with:: - $ conda install baysplinepy -c sbmalev + $ conda install baysplinepy -c sbmalev To install with ``pip``, run::