Comments (3)
janpisl
commented on July 21, 2024
1
I managed to install it. I created a clean environment with Python 3.8, installed libraries from the provided requirements.txt with conda, those that were not available I installed with pip, there were some version mismatches and I had to install a 2020 version of pyopencl because I couldn't install the specified version (2018.2.5). But in the end it works and I am trying it out now.
Let me know if I can be of any more help.
from bfast.
mohammad-a-sh
commented on July 21, 2024
Hi
I have the same problem! If you found the solution please share it!
from bfast.
mohammad-a-sh
commented on July 21, 2024
Hi Jan.
I'm thankful for your guidance.
I installed Python 3.8 along with the requirements, but I got an error. I also got an error for Python 3.7, but I was able to run it in Python 3.6.
Thank you.
I wish the best for you
Mohammad.
from bfast.
Related Issues (20)
- The error message of level does not reflect its actual behaviour HOT 1
- performance benchmark between the different backend ? HOT 11
- drop usage of sklearn ? HOT 2
- pyhton backend n_chunk is never used HOT 3
- why _model is reset each time fit is called ? HOT 3
- OpenCL backend is way too slow compared to futhark bench HOT 1
- Write an example that demonstrates usage of multiple GPUs
- GPU data transfer overhead amortization
- BFAST cannot be install from git source
- Version 0.7 fails to install on google colab HOT 2
- opencl backend only supports a number of harmonics (k) in range(3,11) HOT 4
- use bfast for one dimentional time series data HOT 10
- numpy should not be referenced in the setup.py HOT 1
- Stable period determination not implemented HOT 2
- How to get full list of breaks for one pixel HOT 2
- Error in normal terminal and Google colab with Get Started example HOT 1
- IndexError when datetime is used with hour != 0
- Support for multiple detected breaks
- Data not enough for pixel
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from bfast.