v0.6.3

TMLE v0.6.3

Diff since v0.6.2

v0.6.2

TMLE v0.6.2

Diff since v0.6.1

Merged pull requests:

• update adapt (#51) (@olivierlabayle)

v0.6.1

TMLE v0.6.1

Diff since v0.6.0

Merged pull requests:

• Input management (#48) (@olivierlabayle)

v0.6.0

TMLE v0.6.0

Diff since v0.5.0

Closed issues:

• Input Management more seriously (#46)

Merged pull requests:

• Input management (#47) (@olivierlabayle)

v0.5.0

TMLE v0.5.0

Diff since v0.4.1

Closed issues:

• Multi Target TMLE (#24)

Merged pull requests:

• Multi target (#45) (@olivierlabayle)

v0.4.1

TMLE v0.4.1

Diff since v0.4.0

v0.4.0

TMLE v0.4.0

Diff since v0.3.0

Closed issues:

• Query Structure (#42)

Merged pull requests:

• Query struct (#43) (@olivierlabayle)

v0.3.0

TMLE v0.3.0

Diff since v0.2.0

Closed issues:

• Bunch of things for the next release (#27)
• Update Documentation (#30)
• Report Efficient Influence curve at all points (#32)
• Store the p(T|W) in the machine report (#35)
• Report initial estimate (#36)
• For release 0.21 (#37)

Merged pull requests:

• Documentation update (#33) (@olivierlabayle)
• Release 0.21 (#39) (@olivierlabayle)

v0.2.0

TMLE v0.2.0

Diff since v0.1.3

Closed issues:

• Updating the query does not lead to new estimates (#28)
• Update p-value computation (#29)

Merged pull requests:

• Issue 27 (#31) (@olivierlabayle)

v0.1.3

TMLE v0.1.3

Diff since v0.1.2

Closed issues:

• Use the learning network API (#7)
• Update documentation (#21)
• Make indicators a field of the fluctuation (#22)
• Try to run the stack in parallel with MLJ (#23)

Merged pull requests:

• Learning network (#25) (@olivierlabayle)