data-reader-1.1.0

Changes in this release:

• Major refactoring to make the data reader more flexible.
• Steps for reading data has changed: First, read in the columns. Second, make changes to the column datatype if needed. Finally, read in the data using the columns read in.
• Introduced metadata file for interventional dataset.
• Column datatype can be changed using metadata file.
• Switched from ByteBuffer to standard byte InputStream, mostly for reading in data from file.

data-reader-1.0.0-SNAPSHOT

Restructured the data readers to read in columns and data separately.

data-reader-0.2.4

Changes:

• Fix null pointer bug in data validations when validating data with excluded columns.

data-reader-0.2.3

Changes in this release:

Added thread interruption policy.
Fixed bug found in Tetrad. cmu-phil/tetrad#548

data-reader-0.2.2

Changes in this release:

• Added a basic data reader to get only column and row counts.
• Added additional information on the missing values:
  • Total number of missing values.
  • Number of missing values that are marked.
  • Number of missing values that are assumed.
• Number of rows and column that have missing values.

data-reader-0.2.1

Changes in this release:

• Added data reader for mixed data.
• Refactoring existing data validation.
• Added data validation for mixed variables.
• Bug fixes for covariance data reader and validation.
• Updated slf4j-log4j12 to the latest version.
• Updated version number in the README file.

data-reader-0.1.4

Changes in this release:

1. Bug fixing for discrete data reader.
2. Refactoring tabular data reader abstract classes.
3. Cleaning up JUnit tests.

data-reader-0.1.3

This release contains the follow:

1. Data reader for continuous and discrete tabular data.
2. Data reader for lower triangular covariance matrice.
3. File delimiter inference.
4. Data file validations.
5. Data file previewer.

data-reader-0.1.2

This data reader is going replace the current data read in Tetrad. Below are the new features:

• file types : tab, space, whitespace, comma, colon, semicolon, pipe
• data file type: tabular continuous, tabular discrete, covariance
• options: comment marker, missing value marker
• data previewer
• data file validations