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Posted to commits@commons.apache.org by ps...@apache.org on 2013/11/10 19:03:41 UTC

svn commit: r1540502 - /commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java

Author: psteitz
Date: Sun Nov 10 18:03:41 2013
New Revision: 1540502

URL: http://svn.apache.org/r1540502
Log:
Changed to use InsufficientDataException when the model does not contain sufficient data for the number of regerssors; fixed error in precondition statement.

Modified:
    commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java

Modified: commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java
URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java?rev=1540502&r1=1540501&r2=1540502&view=diff
==============================================================================
--- commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java (original)
+++ commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java Sun Nov 10 18:03:41 2013
@@ -17,10 +17,10 @@
 package org.apache.commons.math3.stat.regression;
 
 import org.apache.commons.math3.exception.DimensionMismatchException;
+import org.apache.commons.math3.exception.InsufficientDataException;
 import org.apache.commons.math3.exception.MathIllegalArgumentException;
 import org.apache.commons.math3.exception.NoDataException;
 import org.apache.commons.math3.exception.NullArgumentException;
-import org.apache.commons.math3.exception.NumberIsTooSmallException;
 import org.apache.commons.math3.exception.util.LocalizedFormats;
 import org.apache.commons.math3.linear.NonSquareMatrixException;
 import org.apache.commons.math3.linear.RealMatrix;
@@ -109,8 +109,8 @@ public abstract class AbstractMultipleLi
      * @throws NullArgumentException if the data array is null
      * @throws DimensionMismatchException if the length of the data array is not equal
      * to <code>nobs * (nvars + 1)</code>
-     * @throws NumberIsTooSmallException if <code>nobs</code> is smaller than
-     * <code>nvars</code>
+     * @throws InsufficientDataException if <code>nobs</code> is less than
+     * <code>nvars + 1</code>
      */
     public void newSampleData(double[] data, int nobs, int nvars) {
         if (data == null) {
@@ -120,7 +120,7 @@ public abstract class AbstractMultipleLi
             throw new DimensionMismatchException(data.length, nobs * (nvars + 1));
         }
         if (nobs <= nvars) {
-            throw new NumberIsTooSmallException(nobs, nvars, false);
+            throw new InsufficientDataException(LocalizedFormats.INSUFFICIENT_OBSERVED_POINTS_IN_SAMPLE, nobs, nvars + 1);
         }
         double[] y = new double[nobs];
         final int cols = noIntercept ? nvars: nvars + 1;



Re: Fwd: svn commit: r1540502 - /commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java

Posted by Luc Maisonobe <lu...@spaceroots.org>.
Le 11/11/2013 09:47, Thomas Neidhart a écrit :
> On 11/11/2013 01:07 AM, Phil Steitz wrote:
>> Clirr does not complain about this change, I guess because pre- and
>> post- are both unchecked, unadvertised exceptions.  Before making
>> more of these changes, I want to make sure others are OK with this
>> in a dot release.

As far as I am concerned, I am OK with this.

>> Users who catch MathIllegalArgumentException will
>> not be affected by this change, but those who catch
>> NumberIsTooSmallException may break.  I thought about having the new
>> exception subclass NumberIsTooSmallException, but that does not
>> really make sense to me.  If others are not OK with this, I can roll
>> back this change and wait to start using the new exception in older
>> classes until 4.0.
> 
> If unsure, we could make it subclass NumberIsTooSmallException for now
> and then change it to MathIllegalArgumentException in 4.0?

I'm not sure it is worth the effort, and we may well forget about it
after 3.3.

Luc

> 
> Thomas
> 
>> -------- Original Message --------
>> Subject: 	svn commit: r1540502 -
>> /commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java
>>
>> Date: 	Sun, 10 Nov 2013 18:03:41 -0000
>> From: 	psteitz@apache.org
>> Reply-To: 	dev@commons.apache.org
>> To: 	commits@commons.apache.org
>>
>>
>>
>> Author: psteitz
>> Date: Sun Nov 10 18:03:41 2013
>> New Revision: 1540502
>>
>> URL: http://svn.apache.org/r1540502
>> Log:
>> Changed to use InsufficientDataException when the model does not contain sufficient data for the number of regerssors; fixed error in precondition statement.
>>
>> Modified:
>>     commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java
>>
>> Modified: commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java
>> URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java?rev=1540502&r1=1540501&r2=1540502&view=diff
>> ==============================================================================
>> --- commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java (original)
>> +++ commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java Sun Nov 10 18:03:41 2013
>> @@ -17,10 +17,10 @@
>>  package org.apache.commons.math3.stat.regression;
>>  
>>  import org.apache.commons.math3.exception.DimensionMismatchException;
>> +import org.apache.commons.math3.exception.InsufficientDataException;
>>  import org.apache.commons.math3.exception.MathIllegalArgumentException;
>>  import org.apache.commons.math3.exception.NoDataException;
>>  import org.apache.commons.math3.exception.NullArgumentException;
>> -import org.apache.commons.math3.exception.NumberIsTooSmallException;
>>  import org.apache.commons.math3.exception.util.LocalizedFormats;
>>  import org.apache.commons.math3.linear.NonSquareMatrixException;
>>  import org.apache.commons.math3.linear.RealMatrix;
>> @@ -109,8 +109,8 @@ public abstract class AbstractMultipleLi
>>       * @throws NullArgumentException if the data array is null
>>       * @throws DimensionMismatchException if the length of the data array is not equal
>>       * to <code>nobs * (nvars + 1)</code>
>> -     * @throws NumberIsTooSmallException if <code>nobs</code> is smaller than
>> -     * <code>nvars</code>
>> +     * @throws InsufficientDataException if <code>nobs</code> is less than
>> +     * <code>nvars + 1</code>
>>       */
>>      public void newSampleData(double[] data, int nobs, int nvars) {
>>          if (data == null) {
>> @@ -120,7 +120,7 @@ public abstract class AbstractMultipleLi
>>              throw new DimensionMismatchException(data.length, nobs * (nvars + 1));
>>          }
>>          if (nobs <= nvars) {
>> -            throw new NumberIsTooSmallException(nobs, nvars, false);
>> +            throw new InsufficientDataException(LocalizedFormats.INSUFFICIENT_OBSERVED_POINTS_IN_SAMPLE, nobs, nvars + 1);
>>          }
>>          double[] y = new double[nobs];
>>          final int cols = noIntercept ? nvars: nvars + 1;
>>
>>
>>
>>
>>
>>
>> ---------------------------------------------------------------------
>> To unsubscribe, e-mail: dev-unsubscribe@commons.apache.org
>> For additional commands, e-mail: dev-help@commons.apache.org
>>
> 
> 
> ---------------------------------------------------------------------
> To unsubscribe, e-mail: dev-unsubscribe@commons.apache.org
> For additional commands, e-mail: dev-help@commons.apache.org
> 
> 


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Re: Fwd: svn commit: r1540502 - /commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java

Posted by Thomas Neidhart <th...@gmail.com>.
On 11/11/2013 01:07 AM, Phil Steitz wrote:
> Clirr does not complain about this change, I guess because pre- and
> post- are both unchecked, unadvertised exceptions.  Before making
> more of these changes, I want to make sure others are OK with this
> in a dot release.  Users who catch MathIllegalArgumentException will
> not be affected by this change, but those who catch
> NumberIsTooSmallException may break.  I thought about having the new
> exception subclass NumberIsTooSmallException, but that does not
> really make sense to me.  If others are not OK with this, I can roll
> back this change and wait to start using the new exception in older
> classes until 4.0.

If unsure, we could make it subclass NumberIsTooSmallException for now
and then change it to MathIllegalArgumentException in 4.0?

Thomas

> -------- Original Message --------
> Subject: 	svn commit: r1540502 -
> /commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java
> 
> Date: 	Sun, 10 Nov 2013 18:03:41 -0000
> From: 	psteitz@apache.org
> Reply-To: 	dev@commons.apache.org
> To: 	commits@commons.apache.org
> 
> 
> 
> Author: psteitz
> Date: Sun Nov 10 18:03:41 2013
> New Revision: 1540502
> 
> URL: http://svn.apache.org/r1540502
> Log:
> Changed to use InsufficientDataException when the model does not contain sufficient data for the number of regerssors; fixed error in precondition statement.
> 
> Modified:
>     commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java
> 
> Modified: commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java
> URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java?rev=1540502&r1=1540501&r2=1540502&view=diff
> ==============================================================================
> --- commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java (original)
> +++ commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java Sun Nov 10 18:03:41 2013
> @@ -17,10 +17,10 @@
>  package org.apache.commons.math3.stat.regression;
>  
>  import org.apache.commons.math3.exception.DimensionMismatchException;
> +import org.apache.commons.math3.exception.InsufficientDataException;
>  import org.apache.commons.math3.exception.MathIllegalArgumentException;
>  import org.apache.commons.math3.exception.NoDataException;
>  import org.apache.commons.math3.exception.NullArgumentException;
> -import org.apache.commons.math3.exception.NumberIsTooSmallException;
>  import org.apache.commons.math3.exception.util.LocalizedFormats;
>  import org.apache.commons.math3.linear.NonSquareMatrixException;
>  import org.apache.commons.math3.linear.RealMatrix;
> @@ -109,8 +109,8 @@ public abstract class AbstractMultipleLi
>       * @throws NullArgumentException if the data array is null
>       * @throws DimensionMismatchException if the length of the data array is not equal
>       * to <code>nobs * (nvars + 1)</code>
> -     * @throws NumberIsTooSmallException if <code>nobs</code> is smaller than
> -     * <code>nvars</code>
> +     * @throws InsufficientDataException if <code>nobs</code> is less than
> +     * <code>nvars + 1</code>
>       */
>      public void newSampleData(double[] data, int nobs, int nvars) {
>          if (data == null) {
> @@ -120,7 +120,7 @@ public abstract class AbstractMultipleLi
>              throw new DimensionMismatchException(data.length, nobs * (nvars + 1));
>          }
>          if (nobs <= nvars) {
> -            throw new NumberIsTooSmallException(nobs, nvars, false);
> +            throw new InsufficientDataException(LocalizedFormats.INSUFFICIENT_OBSERVED_POINTS_IN_SAMPLE, nobs, nvars + 1);
>          }
>          double[] y = new double[nobs];
>          final int cols = noIntercept ? nvars: nvars + 1;
> 
> 
> 
> 
> 
> 
> ---------------------------------------------------------------------
> To unsubscribe, e-mail: dev-unsubscribe@commons.apache.org
> For additional commands, e-mail: dev-help@commons.apache.org
> 


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Fwd: svn commit: r1540502 - /commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java

Posted by Phil Steitz <ph...@gmail.com>.
Clirr does not complain about this change, I guess because pre- and
post- are both unchecked, unadvertised exceptions.  Before making
more of these changes, I want to make sure others are OK with this
in a dot release.  Users who catch MathIllegalArgumentException will
not be affected by this change, but those who catch
NumberIsTooSmallException may break.  I thought about having the new
exception subclass NumberIsTooSmallException, but that does not
really make sense to me.  If others are not OK with this, I can roll
back this change and wait to start using the new exception in older
classes until 4.0.



-------- Original Message --------
Subject: 	svn commit: r1540502 -
/commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java

Date: 	Sun, 10 Nov 2013 18:03:41 -0000
From: 	psteitz@apache.org
Reply-To: 	dev@commons.apache.org
To: 	commits@commons.apache.org



Author: psteitz
Date: Sun Nov 10 18:03:41 2013
New Revision: 1540502

URL: http://svn.apache.org/r1540502
Log:
Changed to use InsufficientDataException when the model does not contain sufficient data for the number of regerssors; fixed error in precondition statement.

Modified:
    commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java

Modified: commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java
URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java?rev=1540502&r1=1540501&r2=1540502&view=diff
==============================================================================
--- commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java (original)
+++ commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java Sun Nov 10 18:03:41 2013
@@ -17,10 +17,10 @@
 package org.apache.commons.math3.stat.regression;
 
 import org.apache.commons.math3.exception.DimensionMismatchException;
+import org.apache.commons.math3.exception.InsufficientDataException;
 import org.apache.commons.math3.exception.MathIllegalArgumentException;
 import org.apache.commons.math3.exception.NoDataException;
 import org.apache.commons.math3.exception.NullArgumentException;
-import org.apache.commons.math3.exception.NumberIsTooSmallException;
 import org.apache.commons.math3.exception.util.LocalizedFormats;
 import org.apache.commons.math3.linear.NonSquareMatrixException;
 import org.apache.commons.math3.linear.RealMatrix;
@@ -109,8 +109,8 @@ public abstract class AbstractMultipleLi
      * @throws NullArgumentException if the data array is null
      * @throws DimensionMismatchException if the length of the data array is not equal
      * to <code>nobs * (nvars + 1)</code>
-     * @throws NumberIsTooSmallException if <code>nobs</code> is smaller than
-     * <code>nvars</code>
+     * @throws InsufficientDataException if <code>nobs</code> is less than
+     * <code>nvars + 1</code>
      */
     public void newSampleData(double[] data, int nobs, int nvars) {
         if (data == null) {
@@ -120,7 +120,7 @@ public abstract class AbstractMultipleLi
             throw new DimensionMismatchException(data.length, nobs * (nvars + 1));
         }
         if (nobs <= nvars) {
-            throw new NumberIsTooSmallException(nobs, nvars, false);
+            throw new InsufficientDataException(LocalizedFormats.INSUFFICIENT_OBSERVED_POINTS_IN_SAMPLE, nobs, nvars + 1);
         }
         double[] y = new double[nobs];
         final int cols = noIntercept ? nvars: nvars + 1;






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