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update READMEs
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masajiro committed Apr 16, 2024
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1 change: 1 addition & 0 deletions README-jp.md
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Expand Up @@ -10,6 +10,7 @@ Neighborhood Graph and Tree for Indexing High-dimensional Data

ニュース
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- 2024/04/10 内積が利用可能になりました。(v2.1.0)
- 2022/08/10 QBG(Quantized Blob Graph)およびQG(NGTQGの改良版)が利用可能となりました。ngtqおよびngtqgは[qbg](https://github.com/yahoojapan/NGT/blob/main/bin/qbg/README.md)で置き換えられました。
- 2022/02/04 FP16(半精度浮動小数点)が利用可能になりました。(v1.14.0)
- 2021/03/12 READMEに量子化グラフの結果を追加しました。
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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -10,6 +10,7 @@ Neighborhood Graph and Tree for Indexing High-dimensional Data

News
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- 04/10/2024 Inner product (or dot product) is now available. (v2.1.0)
- 08/10/2022 [QBG](https://github.com/yahoojapan/NGT#qbg-quantized-blob-graph-based-method) (Quantized Blob Graph) and [QG](https://github.com/yahoojapan/NGT#qg-quantized-graph-based-method) (renewed NGTQG) are now available. The command-line interface ngtq and ngtqg are now obsolete by replacing [qbg](bin/qbg/README.md). (v2.0.0)
- 02/04/2022 FP16 (half-precision floating point) is now available. (v1.14.0)
- 03/12/2021 The results for the quantized graph are added to this README.
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1 change: 1 addition & 0 deletions bin/ngt/README-jp.md
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Expand Up @@ -104,6 +104,7 @@ ANNGやBKNNGを指定した場合には登録データ(ノード)からエ
- __j__: ジャッカード距離。データオブジェクトの型は1バイト整数を指定してください。
- __p__: ポアンカレ距離
- __l__: ローレンツ距離
- __i__: 内積。最大内積検索です。検索時に得られる距離は内積の値ではないのでご注意ください。

**-n** *no\_of\_registration\_data*
登録するデータ数を指定します。指定しない場合には指定されたファイル中のすべてのデータを登録します。
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2 changes: 1 addition & 1 deletion bin/ngt/README.md
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Expand Up @@ -107,7 +107,7 @@ Specify the distance function as follows.
- __j__: Jaccard distance. 1 byte unsigned integer should be specified for the data object type.
- __p__: Poincare distance
- __l__: Lorentz distance
- __i__: Inner product (Dot product)
- __i__: Inner product (or dot product). Maximum inner-product search. Note that the distance obtained during search is not inner product values.

**-n** *no\_of\_registration\_data*
Specify the number of data items to be registered. If not specified, all data in the specified file will be registered.
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1 change: 1 addition & 0 deletions python/README-ngtpy-jp.md
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Expand Up @@ -203,6 +203,7 @@ FUNCTIONS
- __Normalized Cosine__: 正規化コサイン類似度。指定されたデータは自動的に正規化された上でインデックスに登録されます。
- __Hamming__: ハミング距離
- __Jaccard__: ジャッカード距離
- __Inner Product__: 内積

**object_type**
オブジェクトのデータタイプを指定します。
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1 change: 1 addition & 0 deletions python/README-ngtpy.md
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Expand Up @@ -209,6 +209,7 @@ Specify the distance function for the objects.
- __Normalized Cosine__: Normalized cosine similarity. The specified data are automatically normalized to be appended to the index.
- __Hamming__: Hamming distance
- __Jaccard__: Jaccard distance
- __Inner Product__: Inner product (or dot product)

**object_type**
Specify the data type of the objects.
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