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from lynxkite.core.ops import op
import pandas as pd
ENV = "LynxKite Graph Analytics"
@op(ENV, "Word2vec for the top 1000 words", slow=True)
def word2vec_1000():
import staticvectors
model = staticvectors.StaticVectors("neuml/word2vec-quantized")
df = pd.read_csv(
"https://gist.githubusercontent.com/deekayen/4148741/raw/98d35708fa344717d8eee15d11987de6c8e26d7d/1-1000.txt",
names=["word"],
)
df["embedding"] = model.embeddings(df.word.tolist()).tolist()
return df
@op(ENV, "Take first N")
def first_n(df: pd.DataFrame, *, n=10):
return df.head(n)
@op(ENV, "Sample N")
def sample_n(df: pd.DataFrame, *, n=10):
return df.sample(n)
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