“Memory Error” - Kmeans in python using pandas DataFrame
0
$begingroup$
I am trying to predict on my "dataset_to_predict" having size of (297000 x 5120). While Memory usage is under 50%. No Specific Error message.
I try to find # of k using elbow method - Got MemoryError:
from sklearn.cluster import KMeans, MiniBatchKMeans
km = KMeans(n_clusters=5)
k_range = range(1,10)
sse =
for k in k_range:
km = KMeans(n_clusters=k).fit(dataset_to_predict) #this line throw error
#km = MiniBatchKMeans(n_clusters=k, batch_size=100, verbose=1).fit(dataset_to_predict) #Also tried on part of the dataset
sse.append(km.inertia_)
Also i tried to use Kmeans.fit_predict() method again get the memoryError:
y_predicted = km.fit_predict(dataset_to_predict) #this line throw error
y_predicted
System Specs I have:
- Ubuntu 18.04.2 LTS
- Memory: 16 GB
- Swap: 2GB
- Processor: Intel® Core™ i5-7500 CPU @ 3.40GHz × 4
machine-learning python clustering pandas k-means
asked 3 mins ago
MGMMGM
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0
$begingroup$
I am trying to predict on my "dataset_to_predict" having size of (297000 x 5120). While Memory usage is under 50%. No Specific Error message.
I try to find # of k using elbow method - Got MemoryError:
from sklearn.cluster import KMeans, MiniBatchKMeans
km = KMeans(n_clusters=5)
k_range = range(1,10)
sse =
for k in k_range:
km = KMeans(n_clusters=k).fit(dataset_to_predict) #this line throw error
#km = MiniBatchKMeans(n_clusters=k, batch_size=100, verbose=1).fit(dataset_to_predict) #Also tried on part of the dataset
sse.append(km.inertia_)
Also i tried to use Kmeans.fit_predict() method again get the memoryError:
y_predicted = km.fit_predict(dataset_to_predict) #this line throw error
y_predicted
System Specs I have:
- Ubuntu 18.04.2 LTS
- Memory: 16 GB
- Swap: 2GB
- Processor: Intel® Core™ i5-7500 CPU @ 3.40GHz × 4
machine-learning python clustering pandas k-means
asked 3 mins ago
MGMMGM
1
New contributor
MGM is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
0
0
0
$begingroup$
I am trying to predict on my "dataset_to_predict" having size of (297000 x 5120). While Memory usage is under 50%. No Specific Error message.
I try to find # of k using elbow method - Got MemoryError:
from sklearn.cluster import KMeans, MiniBatchKMeans
km = KMeans(n_clusters=5)
k_range = range(1,10)
sse =
for k in k_range:
km = KMeans(n_clusters=k).fit(dataset_to_predict) #this line throw error
#km = MiniBatchKMeans(n_clusters=k, batch_size=100, verbose=1).fit(dataset_to_predict) #Also tried on part of the dataset
sse.append(km.inertia_)
Also i tried to use Kmeans.fit_predict() method again get the memoryError:
y_predicted = km.fit_predict(dataset_to_predict) #this line throw error
y_predicted
System Specs I have:
- Ubuntu 18.04.2 LTS
- Memory: 16 GB
- Swap: 2GB
- Processor: Intel® Core™ i5-7500 CPU @ 3.40GHz × 4
machine-learning python clustering pandas k-means
asked 3 mins ago
MGMMGM
1
New contributor
MGM is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I am trying to predict on my "dataset_to_predict" having size of (297000 x 5120). While Memory usage is under 50%. No Specific Error message.
I try to find # of k using elbow method - Got MemoryError:
from sklearn.cluster import KMeans, MiniBatchKMeans
km = KMeans(n_clusters=5)
k_range = range(1,10)
sse =
for k in k_range:
km = KMeans(n_clusters=k).fit(dataset_to_predict) #this line throw error
#km = MiniBatchKMeans(n_clusters=k, batch_size=100, verbose=1).fit(dataset_to_predict) #Also tried on part of the dataset
sse.append(km.inertia_)
Also i tried to use Kmeans.fit_predict() method again get the memoryError:
y_predicted = km.fit_predict(dataset_to_predict) #this line throw error
y_predicted
System Specs I have:
- Ubuntu 18.04.2 LTS
- Memory: 16 GB
- Swap: 2GB
- Processor: Intel® Core™ i5-7500 CPU @ 3.40GHz × 4
machine-learning python clustering pandas k-means
machine-learning python clustering pandas k-means
asked 3 mins ago
MGMMGM
1
New contributor
MGM is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 3 mins ago
MGMMGM
1
New contributor
MGM is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 3 mins ago
MGMMGM
1
New contributor
MGM is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 3 mins ago
MGMMGM
1
asked 3 mins ago
MGMMGM
1
1
New contributor
MGM is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
MGM is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
MGM is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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