linkedin / linkedin/FastTreeSHAP

Cannot build fasttreeshap in linux environment

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Lingua principale
Python
Stelle
566
Fork
38
Metriche di merge delle PR
Nessuna PR unita negli ultimi 30g

Descrizione

We would like to use fasttreeshap to calculate explainability values for our machine learning model.
To run our model we create a linux container with a venv for the model. All the requirements are specified in a file and installed in the venv with pip -r requirements.txt.
Our model depends on numpy==1.21.4 and when we try to install fasttreeshap we incur into this issue:

ERROR: Cannot install oldest-supported-numpy==0.12, oldest-supported-numpy==0.14, oldest-supported-numpy==0.15, oldest-supported-numpy==2022.1.30, oldest-supported-numpy==2022.3.27, oldest-supported-numpy==2022.4.10, oldest-supported-numpy==2022.4.18, oldest-supported-numpy==2022.4.8, oldest-supported-numpy==2022.5.27, oldest-supported-numpy==2022.5.28 and oldest-supported-numpy==2022.8.16 because these package versions have conflicting dependencies.
The conflict is caused by:
oldest-supported-numpy 2022.8.16 depends on numpy==1.17.3; python_version == "3.8" and platform_machine not in "arm64|aarch64|s390x|loongarch64" and platform_python_implementation != "PyPy"
oldest-supported-numpy 2022.5.28 depends on numpy==1.17.3; python_version == "3.8" and (platform_machine != "arm64" or platform_system != "Darwin") and platform_machine != "aarch64" and platform_machine != "s390x" and platform_machine != "loongarch64" and platform_python_implementation != "PyPy"
oldest-supported-numpy 2022.5.27 depends on numpy==1.17.3; python_version == "3.8" and (platform_machine != "arm64" or platform_system != "Darwin") and platform_machine != "aarch64" and platform_machine != "s390x" and platform_machine != "loongarch64" and platform_python_implementation != "PyPy"
oldest-supported-numpy 2022.4.18 depends on numpy==1.17.3; python_version == "3.8" and (platform_machine != "arm64" or platform_system != "Darwin") and platform_machine != "aarch64" and platform_machine != "s390x" and platform_machine != "loongarch64" and platform_python_implementation != "PyPy"
oldest-supported-numpy 2022.4.10 depends on numpy==1.17.3; python_version == "3.8" and (platform_machine != "arm64" or platform_system != "Darwin") and platform_machine != "aarch64" and platform_machine != "s390x" and platform_machine != "loongarch64" and platform_python_implementation != "PyPy"
oldest-supported-numpy 2022.4.8 depends on numpy==1.17.3; python_version == "3.8" and (platform_machine != "arm64" or platform_system != "Darwin") and platform_machine != "aarch64" and platform_machine != "s390x" and platform_machine != "loongarch64" and platform_python_implementation != "PyPy"
oldest-supported-numpy 2022.3.27 depends on numpy==1.17.3; python_version == "3.8" and (platform_machine != "arm64" or platform_system != "Darwin") and platform_machine != "aarch64" and platform_machine != "s390x" and platform_machine != "loongarch64" and platform_python_implementation != "PyPy"
oldest-supported-numpy 2022.1.30 depends on numpy==1.17.3; python_version == "3.8" and (platform_machine != "arm64" or platform_system != "Darwin") and platform_machine != "aarch64" and platform_machine != "s390x" and platform_python_implementation != "PyPy"
oldest-supported-numpy 0.15 depends on numpy==1.17.3; python_version == "3.8" and (platform_machine != "arm64" or platform_system != "Darwin") and platform_machine != "aarch64" and platform_machine != "s390x" and platform_python_implementation != "PyPy"
oldest-supported-numpy 0.14 depends on numpy==1.17.3; python_version == "3.8" and (platform_machine != "arm64" or platform_system != "Darwin") and platform_machine != "aarch64" and platform_machine != "s390x" and platform_python_implementation != "PyPy"
oldest-supported-numpy 0.12 depends on numpy==1.17.3; python_version == "3.8" and (platform_machine != "arm64" or platform_system != "Darwin") and platform_machine != "aarch64" and platform_python_implementation != "PyPy"

I can volunteer time and resources to add a wheel file for linux. Would you be interested in distributing a wheel file created by us ?

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Direzione di ricerca

Inizia riproducendo l’installazione in un container Linux descritta nell’issue, utilizzando la versione fissata numpy==1.21.4 e requirements.txt. Analizza il conflitto tra le dipendenze e determina se è possibile compilare e distribuire una wheel Linux per questo ambiente; il lavoro è completato quando pip può installare fasttreeshap senza l’errore di risoluzione segnalato.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Valutazione

Stack tecnologico
numpy, python
Ambito
build-system, machine-learning
Tipo di issue
Funzionalità
Difficoltà
4/5
Tempo stimato
3-5 giorni
Stato di attività
Ferma
Chiarezza
Abbastanza chiara
Idoneità per principianti
35/100

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