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Just a couple spelling fixes. #2

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NickCorneau Dec 29, 2015
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NickCorneau Dec 29, 2015
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Update README.md
NickCorneau Dec 29, 2015
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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -28,9 +28,9 @@ Infer is broad and covers, or intends to cover, most of what you'll find in stat

- *matrices*: wraps the [UJMP](http://www.ujmp.org/) matrix package, which provides an expressive and expansive set of efficient matrix operations. (examples)

- *probabilities*: a language for dealing with probabilities. composable into constructs like graphical models, tress, classifiers, etc.
- *probabilities*: a language for dealing with probabilities. composable into constructs like graphical models, trees, classifiers, etc.

- *measures*: a vast library of measure functions, statistics, and the like. Everything you want for measuring things in your learners. We also have man information-theoretic measures in *information-theory*.
- *measures*: a vast library of measure functions, statistics, and the like. Everything you want for measuring things in your learners. We also have many information-theoretic measures in *information-theory*.

- *linear models*: ols, gls, glms, and penalized / regularized regression methods - L1, L2, and combinations thereof. (examples)

Expand All @@ -44,4 +44,4 @@ Infer is broad and covers, or intends to cover, most of what you'll find in stat

- *features*: easy to deal with feature representations as a matrix, a Clojure vector of vectors, or nested maps, and transforming between the options. easy dealing with continuous or discrete, or discretizing continuous variables (currently in *classification*). merging equivalence classes.

- Copyright (c) Bradford Cross and Hamilton Ulmer released under the MIT License (http://www.opensource.org/licenses/mit-license.php).
- Copyright (c) Bradford Cross and Hamilton Ulmer released under the MIT License (http://www.opensource.org/licenses/mit-license.php).