Object
- TextAnalysisResult

```
public class TextAnalysisResult
extends Object
```
TextAnalysisResult is the result of a TextAnalyzer analysis of a data stream.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`String`	`asJSON(boolean pretty, int verbose)`	A JSON representation of the Analysis.
`String`	`asPlugin()`	A plugin definition to use to match this type.
`long`	`getBlankCount()`	Get the count of all blank samples.
`Set<String>`	`getBottomK()`	Get the bottomK values.
`int`	`getCardinality()`	Get the cardinality for the current data stream.
`Map<String,Long>`	`getCardinalityDetails()`	Get the cardinality details for the current data stream.
`double`	`getConfidence()`	Confidence in the type classification.
`String`	`getDataRegExp()`	Get the Regular Expression that reflects the non-white space element in the data stream.
`String`	`getDataSignature()`	A SHA-1 hash that reflects the data stream contents.
`com.cobber.fta.dates.DateTimeParser.DateResolutionMode`	`getDateResolutionMode()`	Get the DateResolutionMode actually used to process Dates.
`char`	`getDecimalSeparator()`	Get the Decimal Separator used to interpret Doubles.
`long`	`getDistinctCount()`	Return the distinct number of valid values in this stream.
`double`	`getKeyConfidence()`	Is this field a key?
`boolean`	`getLeadingWhiteSpace()`	Does the set of elements contain any elements with leading White Space?
`long`	`getLeadingZeroCount()`	Get the count of all samples with leading zeros (Type long only).
`long`	`getMatchCount()`	Get the count of all (non-blank/non-null) samples that matched the determined type.
`int`	`getMaxLength()`	Get the maximum length for Numeric, Boolean and String.
`String`	`getMaxValue()`	Get the maximum value for Numeric, Boolean and String.
`Double`	`getMean()`	Get the mean for Numeric types (Long, Double).
`int`	`getMinLength()`	Get the minimum length for Numeric, Boolean and String.
`String`	`getMinValue()`	Get the minimum value for Numeric, Boolean and String types.
`boolean`	`getMultiline()`	Does the set of elements contain any multi-line elements?
`String`	`getName()`	Name of the data stream being analyzed.
`long`	`getNullCount()`	Get the count of all null samples.
`int`	`getOutlierCount()`	Get the number of distinct outliers for the current data stream.
`Map<String,Long>`	`getOutlierDetails()`	Get the outlier details for the current data stream.
`String`	`getRegExp()`	Get the Regular Expression that reflects the data stream.
`long`	`getSampleCount()`	Get the count of all samples observed.
`int`	`getShapeCount()`	Get the number of distinct shapes for the current data stream.
`Map<String,Long>`	`getShapeDetails()`	Get the shape details for the current data stream.
`Double`	`getStandardDeviation()`	Get the Standard Deviation for Numeric types (Long, Double).
`String`	`getStructureSignature()`	A SHA-1 hash that reflects the data stream structure.
`Set<String>`	`getTopK()`	Get the topK values.
`long`	`getTotalCount()`	Get the total number of elements in the Data Stream (if known).
`boolean`	`getTrailingWhiteSpace()`	Does the set of elements contain any elements with trailing White Space?
`FTAType`	`getType()`	Get 'Type' as determined by training to date.
`String`	`getTypeQualifier()`	Get the optional Type Qualifier.
`double`	`getUniqueness()`	How unique is this field, i.e.
`boolean`	`isLogicalType()`	Is this a Logical Type?
`boolean`	`statisticsEnabled()`	Was statistics collection enabled for this analysis.
`String`	`toString()`	A String representation of the Analysis.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

- Method Detail
  - getName
```
public String getName()
```
    Name of the data stream being analyzed.
    
    Returns:
    
    Name of data stream.
  - getConfidence
```
public double getConfidence()
```
    Confidence in the type classification. Typically this will be the number of matches divided by the number of real samples. Where a real sample does not include either nulls or blanks.
    
    Returns:
    
    Confidence as a percentage.
  - getType
```
public FTAType getType()
```
    Get 'Type' as determined by training to date.
    
    Returns:
    
    The Type of the data stream.
  - getTypeQualifier
```
public String getTypeQualifier()
```
    Get the optional Type Qualifier. Predefined qualifiers are:
    
    Type: BOOLEAN - "TRUE_FALSE", "YES_NO", "ONE_ZERO"
    
    Type: STRING - "BLANK", "BLANKORNULL", "NULL"
    
    Type: LONG - "GROUPING", "SIGNED", "SIGNED_TRAILING". Note: "GROUPING" and "SIGNED" are independent and can both be present.
    
    Type: DOUBLE - "GROUPING", "SIGNED", "SIGNED_TRAILING", "NON_LOCALIZED". Note: "GROUPING" and "SIGNED" are independent and can both be present.
    
    Type: DATE, TIME, DATETIME, ZONEDDATETIME, OFFSETDATETIME - The qualifier is the detailed date format string
    
    Note: Boolean TRUE_FALSE is not localized, i.e. it will only be detected if the field contains true/false respectively. Note: Additional Type Qualifiers may be returned if any Logical Type plugins are installed. For example: If the Month Abbreviation plugin installed, the Base Type will be STRING, and the Qualifier will be "MONTHABBR".
    Returns:
    
    The Type Qualifier for the Type.
  - isLogicalType
```
public boolean isLogicalType()
```
    Is this a Logical Type?
    
    Returns:
    
    True if this is a Logical Type.
  - getMinValue
```
public String getMinValue()
```
    Get the minimum value for Numeric, Boolean and String types.
    
    Returns:
    
    The minimum value as a String.
  - getMaxValue
```
public String getMaxValue()
```
    Get the maximum value for Numeric, Boolean and String.
    
    Returns:
    
    The maximum value as a String.
  - getMinLength
```
public int getMinLength()
```
    Get the minimum length for Numeric, Boolean and String. Note: For String and Boolean types this length includes any whitespace.
    
    Returns:
    
    The minimum length.
  - getMaxLength
```
public int getMaxLength()
```
    Get the maximum length for Numeric, Boolean and String. Note: For String and Boolean types this length includes any whitespace.
    
    Returns:
    
    The maximum length.
  - getDecimalSeparator
```
public char getDecimalSeparator()
```
    Get the Decimal Separator used to interpret Doubles. Note: This will either be the Decimal Separator as per the locale or possibly a period.
    
    Returns:
    
    The Decimal Separator.
  - getDateResolutionMode
```
public com.cobber.fta.dates.DateTimeParser.DateResolutionMode getDateResolutionMode()
```
    Get the DateResolutionMode actually used to process Dates.
    
    Returns:
    
    The DateResolution mode used to process Dates.
  - getMean
```
public Double getMean()
```
    Get the mean for Numeric types (Long, Double).
    
    Returns:
    
    The mean.
  - getStandardDeviation
```
public Double getStandardDeviation()
```
    Get the Standard Deviation for Numeric types (Long, Double).
    
    Returns:
    
    The Standard Deviation.
  - getTopK
```
public Set<String> getTopK()
```
    Get the topK values.
    
    Returns:
    
    The top K values (default: 10).
  - getBottomK
```
public Set<String> getBottomK()
```
    Get the bottomK values.
    
    Returns:
    
    The bottom K values (default: 10).
  - getRegExp
```
public String getRegExp()
```
    Get the Regular Expression that reflects the data stream. All valid inputs should match this Regular Expression, however in some instances, not all inputs that match this RE are necessarily valid. For example, 28/13/2017 will match the RE (\d{2}/\d{2}/\d{4}) however this is not a valid date with pattern dd/MM/yyyy (there is no 13th month).
    
    Returns:
    
    The Regular Expression.
  - getDataRegExp
```
public String getDataRegExp()
```
    Get the Regular Expression that reflects the non-white space element in the data stream. For example, if a stream contains ' hello' and 'world ' this would return '(?i)(HELLO|WORLD)'.
    
    Returns:
    
    The Regular Expression reflecting the non-white space data.
  - getMatchCount
```
public long getMatchCount()
```
    Get the count of all (non-blank/non-null) samples that matched the determined type. More formally the SampleCount is equal to the MatchCount + BlankCount + NullCount.
    
    Returns:
    
    Count of all matches.
  - getLeadingWhiteSpace
```
public boolean getLeadingWhiteSpace()
```
    Does the set of elements contain any elements with leading White Space?
    
    Returns:
    
    True if any elements matched have leading White Space.
  - getTrailingWhiteSpace
```
public boolean getTrailingWhiteSpace()
```
    Does the set of elements contain any elements with trailing White Space?
    
    Returns:
    
    True if any elements matched have trailing White Space.
  - getMultiline
```
public boolean getMultiline()
```
    Does the set of elements contain any multi-line elements?
    
    Returns:
    
    True if any elements matched are multi-line.
  - getTotalCount
```
public long getTotalCount()
```
    Get the total number of elements in the Data Stream (if known).
    
    Returns:
    
    total number of elements in the Data Stream (if known) - -1 if not.
  - getSampleCount
```
public long getSampleCount()
```
    Get the count of all samples observed.
    
    Returns:
    
    Count of all samples observed.
  - getNullCount
```
public long getNullCount()
```
    Get the count of all null samples.
    
    Returns:
    
    Count of all null samples.
  - getBlankCount
```
public long getBlankCount()
```
    Get the count of all blank samples. Note: any number (including zero) of spaces are Blank.
    
    Returns:
    
    Count of all blank samples.
  - getLeadingZeroCount
```
public long getLeadingZeroCount()
```
    Get the count of all samples with leading zeros (Type long only). Note: a single '0' does not constitute a sample with a leading zero.
    
    Returns:
    
    Count of all leading zero samples.
  - getCardinality
```
public int getCardinality()
```
    Get the cardinality for the current data stream. See setMaxCardinality() method in TextAnalyzer. Note: The cardinality returned is the cardinality of the valid samples. For example, if a date is invalid it will not be included in the cardinality. Note: This is not a complete cardinality analysis unless the cardinality of the data stream is less than the maximum cardinality (Default: 12000). See also setMaxCardinality() method in TextAnalyzer.
    
    Returns:
    
    Count of all blank samples.
  - getCardinalityDetails
```
public Map<String,Long> getCardinalityDetails()
```
    Get the cardinality details for the current data stream. This is a Map of Strings and the count of occurrences.
    
    Returns:
    
    A Map of values and their occurrence frequency of the data stream to date.
  - getOutlierCount
```
public int getOutlierCount()
```
    Get the number of distinct outliers for the current data stream. See setMaxOutliers() method in TextAnalyzer. Note: This is not a complete outlier analysis unless the outlier count of the data stream is less than the maximum outlier count (Default: 50). See also setMaxOutliers() method in TextAnalyzer.
    
    Returns:
    
    Count of the distinct outliers.
  - getOutlierDetails
```
public Map<String,Long> getOutlierDetails()
```
    Get the outlier details for the current data stream. This is a Map of Strings and the count of occurrences.
    
    Returns:
    
    A Map of values and their occurrence frequency of the data stream to date.
  - getShapeCount
```
public int getShapeCount()
```
    Get the number of distinct shapes for the current data stream. Note: This is not a complete shape analysis unless the shape count of the data stream is less than the maximum shape count (Default: 400).
    
    Returns:
    
    Count of the distinct shapes.
  - getShapeDetails
```
public Map<String,Long> getShapeDetails()
```
    Get the shape details for the current data stream. This is a Map of Strings and the count of occurrences.
    
    Returns:
    
    A Map of shapes and their occurrence frequency of the data stream to date.
  - getKeyConfidence
```
public double getKeyConfidence()
```
    Is this field a key?
    
    Returns:
    
    A Double (0.0 ... 1.0) representing our confidence that this field is a key.
  - getUniqueness
```
public double getUniqueness()
```
    How unique is this field, i.e. the number of elements in the set with a cardinality of one / cardinality. Note: Only supported if the cardinality presented is less than Max Cardinality.
    
    Returns:
    
    A Double (0.0 ... 1.0) representing the uniqueness of this field.
  - getDistinctCount
```
public long getDistinctCount()
```
    Return the distinct number of valid values in this stream. Note: Typically only supported if the cardinality presented is less than Max Cardinality. Can be set by an external source.
    
    Returns:
    
    A long with the number of distinct values in this stream or -1 if unknown.
  - statisticsEnabled
```
public boolean statisticsEnabled()
```
    Was statistics collection enabled for this analysis.
    
    Returns:
    
    True if statistics were collected.
  - toString
```
public String toString()
```
    A String representation of the Analysis.
    
    Overrides:
    
    toString in class Object
    
    Returns:
    
    A String representation of the analysis to date.
  - getStructureSignature
```
public String getStructureSignature()
```
    A SHA-1 hash that reflects the data stream structure. Note: If a Semantic type is detected then the SHA-1 hash will reflect this.
    
    Returns:
    
    A String SHA-1 hash that reflects the structure of the data stream.
  - getDataSignature
```
public String getDataSignature()
```
    A SHA-1 hash that reflects the data stream contents. Note: The order of the data stream is not considered.
    
    Returns:
    
    A String SHA-1 hash that reflects the data stream contents.
  - asPlugin
```
public String asPlugin()
```
    A plugin definition to use to match this type.
    
    Returns:
    
    A JSON representation of the analysis.
  - asJSON
```
public String asJSON(boolean pretty,
                     int verbose)
```
    A JSON representation of the Analysis.
    
    Parameters:
    
    pretty - If set, add minimal whitespace formatting.
    
    verbose - If > 0 provides additional details on the core, Outlier, and Shapes sets. A value of 1 will output the first 100 elements, a value > 1 will output the full set.
    
    Returns:
    
    A JSON representation of the analysis.

Class TextAnalysisResult

Method Summary

Methods inherited from class java.lang.Object

Method Detail

getName

getConfidence

getType

getTypeQualifier

isLogicalType

getMinValue

getMaxValue

getMinLength

getMaxLength

getDecimalSeparator

getDateResolutionMode

getMean

getStandardDeviation

getTopK

getBottomK

getRegExp

getDataRegExp

getMatchCount

getLeadingWhiteSpace

getTrailingWhiteSpace

getMultiline

getTotalCount

getSampleCount

getNullCount

getBlankCount

getLeadingZeroCount

getCardinality

getCardinalityDetails

getOutlierCount

getOutlierDetails

getShapeCount

getShapeDetails

getKeyConfidence

getUniqueness

getDistinctCount

statisticsEnabled

toString

getStructureSignature

getDataSignature

asPlugin

asJSON