擅长:python、mysql、java
<p>因此,根据Michal Kurka和Tom Kraljevic的建议,这里有一个<code>python</code>的完整解决方案:</p>
<pre><code>import h2o
import requests
import json
h2o.init()
iris_df=h2o.upload_file(path="~/iris.csv")
apiEndpoint="http://127.0.0.1:54321/3/Frames/"
res=json.loads(requests.get(apiEndpoint+iris_df.frame_id).text)
print("Checksum 1: ",res["frames"][0]["checksum"])
#change a bit
iris_df[0,1]=iris_df[0,1]+1e-3
res=json.loads(requests.get(apiEndpoint+iris_df.frame_id).text)
print("Checksum 2: ", res["frames"][0]["checksum"])
h2o.cluster().shutdown()
</code></pre>
<p>这给</p>
<pre><code>Checksum 1: 8858396055714143663
Checksum 2: -4953793257165767052
</code></pre>
<p>谢谢你的帮助!你知道吗</p>