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--- zh:notes:math_softwares [2026/08/23 17:57]
pzczxs [Export for Gaussian AT credit Model]
+++ zh:notes:math_softwares [2026/08/24 10:15] (当前版本)
pzczxs [Obtain Embedding from a Vector Model]
@@ 行 36: / 行 36: @@
 ==== Obtain Embedding from a Vector Model ====
+The //text-embedding-v4// model is employed to produce a 64-demensional embedding vector for each word.
 <code bash>
-> python .\extract_embedding.py --resume .\math_software.word.vocab
+> python .\extract_embedding.py --model text-embedding-v4 --dimension 64 --batch-size 10 --output text-embedding-v4-64.txt --resume .\math_software.word.vocab
 </code>
 ==== Count One- and Two- Grams for PMI Calculation ====
@@ 行 87: / 行 88: @@
 Project: <color red>GaussianATModelWithCredit</color>
+==== GloVe Embedding ====
 <code bash>
 > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 50 -e resources/glove.2024.wikigiga.50d.zip -n 50 -sc 7 -fb data/math_software/10/math_software -K 10
@@ 行 98: / 行 100: @@
 > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 50 -e resources/glove.2024.wikigiga.50d.zip -n 50 -sc 7 -fb data/math_software/90/math_software -K 90
 > java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 50 -e resources/glove.2024.wikigiga.50d.zip -n 50 -sc 7 -fb data/math_software/100/math_software -K 100
+</code>
+==== text-embedding-v4 ====
+<code bash>
+> java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/10/math_software -K 10
+> java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/20/math_software -K 20
+> java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/30/math_software -K 30
+> java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/40/math_software -K 40
+> java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/50/math_software -K 50
+> java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/60/math_software -K 60
+> java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/70/math_software -K 70
+> java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/80/math_software -K 80
+> java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/90/math_software -K 90
+> java -Xmx20g -jar GaussianATCreditModel.jar -sf -D 256 -e resources/qwen3.7-embeddings.zip -n 50 -sc 7 -fb data/math_software/100/math_software -K 100
 </code>
 ===== Calculate Diversity Indicators =====
 The following three diversity indicators are calculated: (1) Rao-Stirling ([[https://www.jstor.org/stable/25050293|Rao, 1982]]; [[https://doi.org/10.1098/rsif.2007.0213|Stirling, 2007]]), DIV ([[https://doi.org/10.1016/j.joi.2019.03.016|Leydesdorff et al., 2019]]), and Diversity ([[https://doi.org/10.1007/s11192-022-04336-3|Mutz, 2022]]).

zh/notes/math_softwares.1787479057.txt.gz · 最后更改: 2026/08/23 17:57 由 pzczxs