mklarqvist / ai-playground Goto Github PK

def f(x, a, c):
return np.power((np.power(x,3.)a + xca) / (xVariable(4,0)), 4) *
np.sin(xa)/np.power(xa,5) - np.cos(x*c) <==== your code has 5

Differentiate with respect to x

by setting gradient of x to 1 and others to 0

x, a, c = Variable(10, 1), Variable(2, 0), Variable(1.5, 0)
ret = f(x,a,c)
print("Differentiate with respect to x ",ret)
Variable(f=2.652201219184028, d=28710.98684562215) <==== your code with 5 what??????

def f(x, a, c):
return np.power((np.power(x,3.)a + xca) / (xVariable(4,0)), 4) *
np.sin(xa)/np.power(xa,5.) - np.cos(x*c) <==== corrected code with 5.

Differentiate with respect to x

by setting gradient of x to 1 and others to 0

x, a, c = Variable(10, 1), Variable(2, 0), Variable(1.5, 0)
ret = f(x,a,c)
print("Differentiate with respect to x ",ret)
Variable(f=2.652201219184028, d=3.2126995936768443) <==== results of corrected code with 5.

Python version 3.9.13
Windows 10
numpy version 1.26.0

THank you again for uploading your essays and codes.

Hi,
This is the only place I found I could ask that you update the above referenced page at mdrk.io Can you update and add values for fit2[1] and fit2[0].

predictions_manual = x2[:,1] * fit2[1] + fit2[0]

I realize its to be a manual entry?

Still I am not geting your results for the table of epoch, beta, b, loss

Perhaps you could upload your code along with code from articles on intro to automatic differentiation to your github page?

As a side note. You have all these additional graphs that do not have any code to plot them.....

Anyway thanks for your articles.

When I run :
docsearch = Chroma.from_documents(texts, embeddings)

I get this error:
AttributeError Traceback (most recent call last)

in <cell line: 1>()
----> 1 docsearch = Chroma.from_documents(texts, embeddings)

1 frames

/usr/local/lib/python3.10/dist-packages/langchain/vectorstores/chroma.py in (.0)
442 Chroma: Chroma vectorstore.
443 """
--> 444 texts = [doc.page_content for doc in documents]
445 metadatas = [doc.metadata for doc in documents]
446 return cls.from_texts(

AttributeError: 'str' object has no attribute 'page_content'

And I did run every cell before it not sure what is the issue?