Change dataPrepNews (#40)

NEWS

@@ -0,0 +1,115 @@
+V 0.3.5
+=======
+- New features:
+	- New features in existing functions:
+		- *findAndTransFormDates* now as an *ambiguities* parameter, IGNORE to work as before, WARN to check for ambiguities and print them, SOLVE to try to solve ambiguities on more lines.
+		- *one_hot_encoder* now uses a *build_encoding* functions to be able to build same encoding on train and on test.
+		- *aggregateByKey* is now way faster on numerics. But it changed the way it gets input functions.
+		- *fastScale* now as a *way* parameter which allow you to either scale or unscale. Unscaling numeric values can be very usefull for most post-model analysis.
+		- *setColAsDate* now accept multiple formats in a single call.
+	- New functions:
+		- *build_encoding* build a list of encoding to be used by *one_hot_encoder*, it also has a parameter *min_frequency* to control that rare values doesn't result in new columns.
+		- Previously private function *identifyDates* is now exported. To be able to perform same transformation on train and on test.
+		- Adding *dataPrepNews* function to open NEWS file (inspired from rfNews() of randomForest package)
+
+- Bug fixes:
+	- *findAndTransFormDates*: bug fixed: user formats weren't used.
+	- *identifyDates*: some formats where tested but would never work. They have been removed.
+
+- Refactoring: 
+	- Unit test partly reviewed to be more readable and more efficient. Unit test time as been divided by 3.
+	- Improving input control for more robust functions
+
+WARNING:
+- *one_hot_encoder* now requires you to run *build_encoding* first.
+- *aggregateByKey* now require functions to be passed by character name
+
+This version is making (as much as possible) transformation reproducible on train and test set. This is to prepare future pipeline feature.
+
+V 0.3.4
+========
+- Improvement of function 
+	- *whichAreBijection*: It is 2 to 15 time faster than previous version.
+	- *whichAreIncluded*: It is a bit faster.
+- Bug fixes:
+	- *generateFactorFromDate*: default value was missing. Fixed.
+- New features:
+	- New features in existing functions:
+		- *fastFilterVariables* has a new parameter (level) to choose which types of filtering to perform
+
+WARNING:
+- *whichAreIncluded*: in case of bijection (col1 is a bijection of col2), they are both included in the other, but the choice of the one to drop might have changed in this version.
+
+V 0.3.3
+========
+- New features:
+	- New features in existing functions:
+		- *findAndTransFormDates* now recognize date character even if there are multiple separator in date (ex: "2016, Jan-26").
+		- *findAndTransFormDates* now recognize date character even if there are leading and tailing white spaces.
+
+WARNING:
+- *date3* column in *messy_adult* data set has changed in order to illustrate the recognition of date character even if there are leading and/or trailing white spaces.
+- *date4* column in *messy_adult* data set has changed in order to illustrate the recognition of date character even if there are multiple separator.
+
+V 0.3.2
+========
+- Change URLs to meet CRAN requirement
+
+v 0.3.1
+=======
+- Fix bug in Latex documentation
+
+v 0.3
+=====
+- New features:
+	- New features in existing functions:
+		- *findAndTransFormDates* now recognize date character even if "0" are not present in month or day part and month as lower strings.
+		- *findAndTransFormDates* and *setColAsDate* now work with *factors*.
+	- New functions:
+		- *fastDiscretization*: to perform equal freq or equal width discretization on a data set using *data.table* power.
+		- *fastScale*: to perform scaling on a data set using *data.table* power.
+		- *one_hot_encoder*: to perform one_hot encoding on a data set using *data.table* power.
+	- New documentation:
+		- A new vignette to illustrate how to build a correct *train* and *test* set unising data preparation
+- Minor changes in log (in particular regarding progress bars and typos)
+	- Due to dependencies issues with *tcltk*, we stop using it and start using *progress*
+- Refactoring: 
+	- Private function *real_cols* take more importance to control that columns have the correct types and handling "auto" value.
+	- Making code faster: some functions are up to **30% faster**
+	- Review unit testing to be faster
+	- Unit test evolution to be more readable
+
+WARNING:
+- *date1* column in *messy_adult* data set has changed in order to illustrate the recognition of date character even if "0" are not present in month or day part.
+
+
+v 0.2
+=====
+- Improving unit testing and code coverage
+- Improving documentation
+- Solving minor bug in date conversion and in which functions
+- New features: 
+	- New functions:
+		- *unFactor* to unfactor columns, when reading wasn't performed in expected way.
+		- *sameShape* to make ure that train and test set have exactly the same shape.
+		- generate new columns from existing columns (generate functions)
+			- generate factor from dates: *generateFactorFromDate*
+			- diffDates becomes *generateDateDiffs* (for better name understanding).
+			- generate numerics and booleans from character of fators (using *generateFromFactor* and *generateFromCharacter*)
+
+		- *setColAsFactor* a function to make multiple columns as factor and controling number of unique elements
+
+	- New features in existing functions:	
+		- which functions: add *keep_cols* argument to make sure that they are not dropped
+		- fastFilterVariables: *verbose* can be T/F or 0, 1, 2 in order to control level of verbosity
+		- *findAndTransFormDates* and *setColAsDates* now recognize and accept timestamp.
+
+WARNING:
+- If you were using *diffDates*, it is now called *generateDateDiffs*
+- *date2* column in *messy_adult* data set have changed in order to illustrate new timestamp features
+- *setColAsFactorOrLogical* doesn't exist anymore: it as been splitted between *setColAsFactor* and *generateFromCat*
+- Considering all those changes: *shapeSet* and *prepareSet* don't give the same result anymore.
+
+
+v 0.1: release on CRAN July 2017
+================================

R/onLoad.R

@@ -5,7 +5,7 @@
 #' Show the NEWS file of the dataPreparation package.
 #' @export
 dataPrepNews <- function() {
-  newsfile <- file.path(system.file(package="dataPreparation"), "NEWS.md")
+  newsfile <- file.path(system.file(package="dataPreparation"), "NEWS")
   file.show(newsfile)
 }