Good morning, i want to test the hdbscan (Hierarchical Density-Based Spatial Clustering of Applications w/ Noise)using GPU so i should use the framework rapids. When i tried to follow the steps described here https://colab.research.google.com/drive/1rY7Ln6rEE1pOlfSHCYOVaqt8OvDO35J0#forceEdit=true&sandboxMode=true&scrollTo=EwaJSKuswsNi taken from Rapids website: https://rapids.ai/start.html i get the following error when i run the code of the function CUDF:
import cudf
import io, requests
# download CSV file from GitHub
url="https://github.com/plotly/datasets/raw/master/tips.csv"
content = requests.get(url).content.decode('utf-8')
# read CSV from memory
tips_df = cudf.read_csv(io.StringIO(content))
tips_df['tip_percentage'] = tips_df['tip']/tips_df['total_bill']*100
# display average tip by dining party size
print(tips_df.groupby('size').tip_percentage.mean())
ValueError Traceback (most recent call last)
<ipython-input-1-a95ca25217db> in <module>()
----> 1 import cudf
2 import io, requests
3
4 # download CSV file from GitHub
5 url="https://github.com/plotly/datasets/raw/master/tips.csv"
2 frames
/usr/local/lib/python3.7/site-packages/cudf/_lib/__init__.py in <module>()
2 import numpy as np
3
----> 4 from . import (
5 avro,
6 binaryop,
cudf/_lib/avro.pyx in init cudf._lib.avro()
cudf/_lib/column.pyx in init cudf._lib.column()
cudf/_lib/scalar.pyx in init cudf._lib.scalar()
cudf/_lib/interop.pyx in init cudf._lib.interop()
ValueError: pyarrow.lib.Codec size changed, may indicate binary incompatibility. Expected 48 from C header, got 40 from PyObject
could you please help me.
thanks an advance
