update docs

bab2min · Aug 4, 2020 · 235a77b · 235a77b
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diff --git a/src/python/docs.h b/src/python/docs.h
@@ -463,7 +463,7 @@ DOC_SIGNATURE_EN_KO(LDA_load__doc__,
 	u8R""(`filename` 경로의 파일로부터 모델 인스턴스를 읽어들여 반환합니다.)"");
 
 DOC_SIGNATURE_EN_KO(LDA_summary__doc__,
-    "summary(self, initial_hp=True, params=True, topic_word_top_n=5, file=sys.stdout, flush=False)",
+    "summary(self, initial_hp=True, params=True, topic_word_top_n=5, file=None, flush=False)",
     u8R""(.. versionadded:: 0.9.0
 
 print human-readable description of the current model

diff --git a/tomotopy/documentation.kr.rst b/tomotopy/documentation.kr.rst
@@ -296,7 +296,7 @@ tomotopy의 Python3 예제 코드는 https://github.com/bab2min/tomotopy/blob/ma
 -------
 * 0.9.0 (2020-08-04)
     * 모델의 상태를 알아보기 쉽게 출력해주는 `tomotopy.LDAModel.summary()` 메소드가 추가되었습니다.
-    * 난수 생성기를 `EigenRand`_로 대체하여 생성 속도를 높이고 플랫폼 간의 결과 차이를 해소하였습니다.
+    * 난수 생성기를 [EigenRand]로 대체하여 생성 속도를 높이고 플랫폼 간의 결과 차이를 해소하였습니다.
     * 이로 인해 `seed`가 동일해도 모델 학습 결과가 0.9.0 이전 버전과 달라질 수 있습니다.
     * `tomotopy.HDPModel`에서 간헐적으로 발생하는 학습 오류를 수정했습니다.
     * 이제 `tomotopy.DMRModel.alpha`가 메타데이터별 토픽 분포의 사전 파라미터를 보여줍니다.
@@ -308,7 +308,7 @@ tomotopy의 Python3 예제 코드는 https://github.com/bab2min/tomotopy/blob/ma
     * 이제 `tomotopy.MGLDAModel.get_count_by_topics()`가 전역 토픽과 지역 토픽 모두의 단어 개수를 보여줍니다.
     * `tomotopy.PAModel.alpha`, `tomotopy.PAModel.subalpha`, `tomotopy.PAModel.get_count_by_super_topic()`이 추가되었습니다.
 
-.. _EigenRand: https://github.com/bab2min/EigenRand
+[EigenRand]: https://github.com/bab2min/EigenRand
 
 * 0.8.2 (2020-07-14)
     * `tomotopy.DTModel.num_timepoints`와 `tomotopy.DTModel.num_docs_by_timepoint` 프로퍼티가 추가되었습니다.

diff --git a/tomotopy/documentation.rst b/tomotopy/documentation.rst
@@ -299,7 +299,7 @@ History
 -------
 * 0.9.0 (2020-08-04)
     * The `tomotopy.LDAModel.summary()` method, which prints human-readable summary of the model, has been added.
-    * The random number generator of package has been replaced with `EigenRand`_. It speeds up the random number generation and solves the result difference between platforms.
+    * The random number generator of package has been replaced with [EigenRand]. It speeds up the random number generation and solves the result difference between platforms.
     * Due to above, even if `seed` is the same, the model training result may be different from the version before 0.9.0.
     * Fixed a training error in `tomotopy.HDPModel`.
     * `tomotopy.DMRModel.alpha` now shows Dirichlet prior of per-document topic distribution by metadata.
@@ -311,7 +311,7 @@ History
     * `tomotopy.MGLDAModel.get_count_by_topics()` now returns the word count for both global and local topics.
     * `tomotopy.PAModel.alpha`, `tomotopy.PAModel.subalpha`, and `tomotopy.PAModel.get_count_by_super_topic()` have been added.
 
-.. _EigenRand: https://github.com/bab2min/EigenRand
+[EigenRand]: https://github.com/bab2min/EigenRand
 
 * 0.8.2 (2020-07-14)
     * New properties `tomotopy.DTModel.num_timepoints` and `tomotopy.DTModel.num_docs_by_timepoint` have been added.