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	AUTOCLASS C VERSION 3.1 NOTES 
====================================================================== 
======================================================================

Documentation:
------------------------------

  1. autoclass-c/data/tests.c -
        Reconfigure parameter values for the checkpointing test case.

  2. autoclass-c/data/glass/glassc-chkpt.s-params -
        Include checkpoint test param settings from tests.c

  3. autoclass-c/data/autos/* -
        Add input data files for last **non**-random trial test of
     autoclass-c/data/tests.c

  4. autoclass-c/doc/prediction-c.text -
        Add text concerning handling of "test" cases which are not
     predicted to be in any of the "training" classes.

  5. autoclass-c/doc/reports-c.text -
        Add new reports param: comment_data_headers_p, which prefixes
     the "#" comment character to all lines except the minimum for 
     selective parsing.

        Add new reports param: max_num_xref_class_probs, which determines
     how many lessor class probabilities will be printed for the case
     and class cross-reference reports.  The default value is 5.

        Add new report params: start_sigma_contours_att &
     stop_sigma_contours_att.  This adds the capability to compute sigma 
     class contour values for specified pairs of real valued attributes,
     when generating the influence values report with the data option
     (report_mode = "data"). See section "Generating Sigma Contour Values".



Programming:
------------------------------						

  1. autoclass-c/prog/globals.c -
        Update "G_ac_version" to 3.1.

  2. autoclass-c/prog/io-results.c -
        In VALIDATE_RESULTS_PATHNAME, handle checkpoint files similarly
    to results files: determine if they are ascii or binary, rather than 
    assuming they are binary.  This was only a problem when .s-params
    parameters save_compact_p = false, and read_compact_p = false.

    In GET_CLSF_SEQ, handle checkpoint files similarly to results files.
    This fix now allows checkpoint files to be loaded for reconvergence.

  3. autoclass-c/prog/intf-reports.c, autoclass.h -
        In XREF_GET_DATA, allocate memory for collector once for each case, 
     rather than n_classes times. This fix now permits reports to be 
     generated for data sets of 100,000 cases and more, without causing
     a segmentation fault.  Eliminate ATTR_ALLOC_INCREMENT, and allocate 
     once for all discrete, and once for all real report attributes, if 
     needed, rather than invoking malloc/realloc for each report attribute.

  4. autoclass-c/prog/intf-reports.c, autoclass.h -
        In AUTOCLASS_REPORTS, pass prediction_p to CASE_CLASS_DATA_SHARING,
     so that XREF_GET_DATA can flag "test" cases which are not predicted
     in be in any of the "training" classes.  Put them in class -1.
     This is only functional for "autoclass -predict ..." runs.  The 
     following message will appear in the screen output for each case that
     is not a member of any of the "training" classes:
        xref_get_data: case_num xxx => class 9999
     Class 9999 members will appear in the "case" and "class" cross-
     reference reports.

  5. autoclass-c/prog/intf-influence-values.c -
        In INFLUENCE_VALUE, do not process attribute values which have 
     null translations.  This occurs when the user supplies an excessive range
     value in .hd2, and ignores the warning to correct it.  This prevents
     a segmentation fault.

  6. autoclass-c/prog/struct-data.c -
        In EXPAND_DATABASE, make error msg more informative.

  7. autoclass-c/prog/autoclass.h, intf-reports.c, intf-extenstions.c,
     search-control-2.c -
        Implement new reports param "comment_data_headers_p", which prefixes
     the "#" comment character to all lines except the minimum for selective
     parsing.

  8. autoclass-c/prog/io-read-data.c -
        In OUTPUT_REAL_ATT_STATISTICS, add error check for attribute variance
     exceeding infinity.  This situation is caused by "out-liers" with very large
     deviations from the other attribute values, and usually means that these
     attribute values are erroneous.  AutoClass C can not proceed in this
     situation.

  9. autoclass-c/prog/intf-reports.c -
        In the influence values report for multi_normal_cn models, when there 
     are more than one covariant normal correlation matrix, print all of them 
     for each class, not just the one for the least significant attribute of 
     the current class.  Changes to FORMAT_ATTRIBUTE & FORMAT_REAL_ATTRIBUTE.

 10.  autoclass-c/prog/intf-reports.c -
        In the case cross-reference report (report_type = "xref_case")
     generated with the data option (report_mode = "data"), other class
     probabilities are now printed, if their values are greater than or
     equal to 0.001, and there are not more than (MAX_NUM_XREF_CLASS_PROBS - 1)
     of them.  Changes to XREF_PAGINATE_BY_CASE, & XREF_OUTPUT_PAGE_HEADERS.

 11. autoclass-c/prog/intf-reports.c -
        In the case and class cross-reference reports, the print out of
     probabilities has increased by one significant digit (0.04 => 0.041);
     and the minimum value printed is now 0.001, rather than 0.01.
     The maximum number of lessor probabilities printed out is
     (MAX_NUM_XREF_CLASS_PROBS - 1).  Changes to XREF_PAGINATE_BY_CASE, &
     XREF_OUTPUT_LINE_BY_CLASS.

 12. autoclass-c/prog/intf-reports.c -
        Add new report parameter MAX_NUM_XREF_CLASS_PROBS, which determines
     how many lessor class probability values will be printed in the
     case and class cross-reference reports.

 13. autoclass-c/load-ac, autoclass-c/prog/autoclass.make.*,
     autoclass-c/prog/autoclass.h, intf-sigma-contours.c, intf-reports.c -
        Add capability to compute sigma class contour values for
     specified pairs of real valued attributes, when generating the
     influence values report with the data option (report_mode = "data").  
     Add new report params start_sigma_contours_att & stop_sigma_contours_att.



======================================================================