Comments (6)
Thanks @seanlaw.
When I install stumpy, it gives me 0.58.0 but I can't import stumpy with sagemaker studio.
I did a force install to 0.55.2 but it still doesn't work.
I think issue is with sagemaker.
I tried on Google Collab and it works perfectly the first time.
So I am sticking to Collab for now.
from stumpy.
@yeongnamtan Thank you for your question and welcome to the STUMPY community. I have no experience with Sagemaker but it appears that you were unsuccessful in installing the correct version of numba
. The minimum version required is 0.55.2
and according to your last error line:
ContextualVersionConflict: (numba 0.55.1 (/opt/conda/lib/python3.10/site-packages), Requirement.parse('numba>=0.55.2'), {'stumpy'})
You only have version 0.55.1
installed. I'm guessing that if you correct this then you should be good to go. Version 0.55.2
is the minimum required version but it is quite outdated and so I recommend installing the latest version of numba
if you can.
from stumpy.
@yeongnamtan Please feel free to re-open this issue or start a new one if you have anything further to add
from stumpy.
Thank you @seanlaw .
I find it fascinating that even though the time series may seem very even, the matrix profile can tell a very different story.
Besides the tutorials, are there other case studies on stumpy you can share?
from stumpy.
Indeed, the simplicity of matrix profiles makes it hard to hide the reality.
We spend most of our time maintaining the code base/adding new features/improving docs/performance and so we have not spent any time on collecting case studies as providing/curating them would certainly elicit even more questions than we have time to support. However, I recommend checking out all of the papers that are published by the original researchers:
https://www.cs.ucr.edu/~eamonn/MatrixProfile.html
Buried within them are numerous case studies.
from stumpy.
Thank you @seanlaw
from stumpy.
Related Issues (20)
- Speeding up the computation of sliding dot product with fft HOT 90
- Computing matrix profile while considering a custom transformation for subsequences HOT 10
- Trying to use AB Join to compare two well log curves called Gamma Ray (GR) and pink major trends with similar magnitudes HOT 2
- Some issues in Tutorial_Multidimensional_Motif_Discovery and MDL HOT 6
- Ts_subseq_isconstant parameter in ostinato algorithm HOT 2
- Faster Non-normalized Matrix Profiles
- `setuptools` Removed From Python 3.12
- Remove `pkg_resources` Dependency HOT 1
- Numba Python Version Compatibility Update
- Numba Python Version Compatibility Update
- Numba Python Version Compatibility Update
- Incorrect MIN Python Version in README HOT 11
- Bump Supported Python Version to 3.12
- Improving Multi-processor Performance HOT 3
- No module named 'pkg_resources' HOT 2
- Cache-Oblivious Algorithms (COA) HOT 2
- Add Named Attributes to Matrix Profile HOT 4
- Optimizing 6-step FFT algorithm HOT 12
- NumPy Installation Fails
- Add additional checks to `min.py` HOT 5
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 stumpy.