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Not able to use JohnSnowLabs pretrained model in Zeppelin
0
I want to use the JohnSnowLabs pretrained spell check module in my Zeppelin notebook. As mentioned here I have added com.johnsnowlabs.nlp:spark-nlp_2.11:1.7.3 to the Zeppelin dependency section as shown below:
However, when I try to run the following simple code
import com.johnsnowlabs.nlp.DocumentAssembler
import com.johnsnowlabs.nlp.annotator.NorvigSweetingModel
import com.johnsnowlabs.nlp.annotators.Tokenizer
import org.apache.spark.ml.Pipeline
import com.johnsnowlabs.nlp.Finisher
val df = Seq("tiolt cde", "eefg efa efb").toDF("names")
val nlpPipeline = new Pipeline().setStages(Array(
new DocumentAssembler().setInputCol("names").setOutputCol("document"),
new Tokenizer().setInputCols("document").setOutputCol("tokens"),
NorvigSweetingModel.pretrained().setInputCols("tokens").setOutputCol("corrected"),
new Finisher().setInputCols("corrected")
))
df.transform(df => nlpPipeline.fit(df).transform(df)).show(false)
it gives an error as follows:
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 3, xxx.xxx.xxx.xxx, executor 0): java.io.FileNotFoundException: File file:/root/cache_pretrained/spell_fast_en_1.6.2_2_1534781328404/metadata/part-00000 does not exist
at org.apache.hadoop.fs.RawLocalFileSystem.deprecatedGetFileStatus(RawLocalFileSystem.java:611)
at org.apache.hadoop.fs.RawLocalFileSystem.getFileLinkStatusInternal(RawLocalFileSystem.java:824)
at org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:601)
at org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:421)
at org.apache.hadoop.fs.ChecksumFileSystem$ChecksumFSInputChecker.<init>(ChecksumFileSystem.java:142)
at org.apache.hadoop.fs.ChecksumFileSystem.open(ChecksumFileSystem.java:346)
at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:769)
at org.apache.hadoop.mapred.LineRecordReader.<init>(LineRecordReader.java:109)
at org.apache.hadoop.mapred.TextInputFormat.getRecordReader(TextInputFormat.java:67)
at org.apache.spark.rdd.HadoopRDD$$anon$1.liftedTree1$1(HadoopRDD.scala:257)
at org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:256)
at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:214)
at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:94)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
...
How can I add this JohnSnowLabs spelling check pretrained model in Zeppelin? The above code works when directly ran on the Spark-shell.
apache-spark apache-zeppelin johnsnowlabs-spark-nlp
edited Nov 29 '18 at 22:21
halfer
14.6k758113
asked Nov 22 '18 at 10:49
user3243499user3243499
81411226
add a comment |
0
I want to use the JohnSnowLabs pretrained spell check module in my Zeppelin notebook. As mentioned here I have added com.johnsnowlabs.nlp:spark-nlp_2.11:1.7.3 to the Zeppelin dependency section as shown below:
However, when I try to run the following simple code
import com.johnsnowlabs.nlp.DocumentAssembler
import com.johnsnowlabs.nlp.annotator.NorvigSweetingModel
import com.johnsnowlabs.nlp.annotators.Tokenizer
import org.apache.spark.ml.Pipeline
import com.johnsnowlabs.nlp.Finisher
val df = Seq("tiolt cde", "eefg efa efb").toDF("names")
val nlpPipeline = new Pipeline().setStages(Array(
new DocumentAssembler().setInputCol("names").setOutputCol("document"),
new Tokenizer().setInputCols("document").setOutputCol("tokens"),
NorvigSweetingModel.pretrained().setInputCols("tokens").setOutputCol("corrected"),
new Finisher().setInputCols("corrected")
))
df.transform(df => nlpPipeline.fit(df).transform(df)).show(false)
it gives an error as follows:
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 3, xxx.xxx.xxx.xxx, executor 0): java.io.FileNotFoundException: File file:/root/cache_pretrained/spell_fast_en_1.6.2_2_1534781328404/metadata/part-00000 does not exist
at org.apache.hadoop.fs.RawLocalFileSystem.deprecatedGetFileStatus(RawLocalFileSystem.java:611)
at org.apache.hadoop.fs.RawLocalFileSystem.getFileLinkStatusInternal(RawLocalFileSystem.java:824)
at org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:601)
at org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:421)
at org.apache.hadoop.fs.ChecksumFileSystem$ChecksumFSInputChecker.<init>(ChecksumFileSystem.java:142)
at org.apache.hadoop.fs.ChecksumFileSystem.open(ChecksumFileSystem.java:346)
at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:769)
at org.apache.hadoop.mapred.LineRecordReader.<init>(LineRecordReader.java:109)
at org.apache.hadoop.mapred.TextInputFormat.getRecordReader(TextInputFormat.java:67)
at org.apache.spark.rdd.HadoopRDD$$anon$1.liftedTree1$1(HadoopRDD.scala:257)
at org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:256)
at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:214)
at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:94)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
...
How can I add this JohnSnowLabs spelling check pretrained model in Zeppelin? The above code works when directly ran on the Spark-shell.
apache-spark apache-zeppelin johnsnowlabs-spark-nlp
edited Nov 29 '18 at 22:21
halfer
14.6k758113
asked Nov 22 '18 at 10:49
user3243499user3243499
81411226
Isn't that configuration problem unrelated to Zeppelin? I'd guess that you use cluster, but default file system somehow resolves to a local one.
– user10465355
Nov 22 '18 at 20:31
add a comment |
0
0
0
I want to use the JohnSnowLabs pretrained spell check module in my Zeppelin notebook. As mentioned here I have added com.johnsnowlabs.nlp:spark-nlp_2.11:1.7.3 to the Zeppelin dependency section as shown below:
However, when I try to run the following simple code
import com.johnsnowlabs.nlp.DocumentAssembler
import com.johnsnowlabs.nlp.annotator.NorvigSweetingModel
import com.johnsnowlabs.nlp.annotators.Tokenizer
import org.apache.spark.ml.Pipeline
import com.johnsnowlabs.nlp.Finisher
val df = Seq("tiolt cde", "eefg efa efb").toDF("names")
val nlpPipeline = new Pipeline().setStages(Array(
new DocumentAssembler().setInputCol("names").setOutputCol("document"),
new Tokenizer().setInputCols("document").setOutputCol("tokens"),
NorvigSweetingModel.pretrained().setInputCols("tokens").setOutputCol("corrected"),
new Finisher().setInputCols("corrected")
))
df.transform(df => nlpPipeline.fit(df).transform(df)).show(false)
it gives an error as follows:
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 3, xxx.xxx.xxx.xxx, executor 0): java.io.FileNotFoundException: File file:/root/cache_pretrained/spell_fast_en_1.6.2_2_1534781328404/metadata/part-00000 does not exist
at org.apache.hadoop.fs.RawLocalFileSystem.deprecatedGetFileStatus(RawLocalFileSystem.java:611)
at org.apache.hadoop.fs.RawLocalFileSystem.getFileLinkStatusInternal(RawLocalFileSystem.java:824)
at org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:601)
at org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:421)
at org.apache.hadoop.fs.ChecksumFileSystem$ChecksumFSInputChecker.<init>(ChecksumFileSystem.java:142)
at org.apache.hadoop.fs.ChecksumFileSystem.open(ChecksumFileSystem.java:346)
at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:769)
at org.apache.hadoop.mapred.LineRecordReader.<init>(LineRecordReader.java:109)
at org.apache.hadoop.mapred.TextInputFormat.getRecordReader(TextInputFormat.java:67)
at org.apache.spark.rdd.HadoopRDD$$anon$1.liftedTree1$1(HadoopRDD.scala:257)
at org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:256)
at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:214)
at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:94)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
...
How can I add this JohnSnowLabs spelling check pretrained model in Zeppelin? The above code works when directly ran on the Spark-shell.
apache-spark apache-zeppelin johnsnowlabs-spark-nlp
edited Nov 29 '18 at 22:21
halfer
14.6k758113
asked Nov 22 '18 at 10:49
user3243499user3243499
81411226
I want to use the JohnSnowLabs pretrained spell check module in my Zeppelin notebook. As mentioned here I have added com.johnsnowlabs.nlp:spark-nlp_2.11:1.7.3 to the Zeppelin dependency section as shown below:
However, when I try to run the following simple code
import com.johnsnowlabs.nlp.DocumentAssembler
import com.johnsnowlabs.nlp.annotator.NorvigSweetingModel
import com.johnsnowlabs.nlp.annotators.Tokenizer
import org.apache.spark.ml.Pipeline
import com.johnsnowlabs.nlp.Finisher
val df = Seq("tiolt cde", "eefg efa efb").toDF("names")
val nlpPipeline = new Pipeline().setStages(Array(
new DocumentAssembler().setInputCol("names").setOutputCol("document"),
new Tokenizer().setInputCols("document").setOutputCol("tokens"),
NorvigSweetingModel.pretrained().setInputCols("tokens").setOutputCol("corrected"),
new Finisher().setInputCols("corrected")
))
df.transform(df => nlpPipeline.fit(df).transform(df)).show(false)
it gives an error as follows:
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 3, xxx.xxx.xxx.xxx, executor 0): java.io.FileNotFoundException: File file:/root/cache_pretrained/spell_fast_en_1.6.2_2_1534781328404/metadata/part-00000 does not exist
at org.apache.hadoop.fs.RawLocalFileSystem.deprecatedGetFileStatus(RawLocalFileSystem.java:611)
at org.apache.hadoop.fs.RawLocalFileSystem.getFileLinkStatusInternal(RawLocalFileSystem.java:824)
at org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:601)
at org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:421)
at org.apache.hadoop.fs.ChecksumFileSystem$ChecksumFSInputChecker.<init>(ChecksumFileSystem.java:142)
at org.apache.hadoop.fs.ChecksumFileSystem.open(ChecksumFileSystem.java:346)
at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:769)
at org.apache.hadoop.mapred.LineRecordReader.<init>(LineRecordReader.java:109)
at org.apache.hadoop.mapred.TextInputFormat.getRecordReader(TextInputFormat.java:67)
at org.apache.spark.rdd.HadoopRDD$$anon$1.liftedTree1$1(HadoopRDD.scala:257)
at org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:256)
at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:214)
at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:94)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
...
How can I add this JohnSnowLabs spelling check pretrained model in Zeppelin? The above code works when directly ran on the Spark-shell.
apache-spark apache-zeppelin johnsnowlabs-spark-nlp
apache-spark apache-zeppelin johnsnowlabs-spark-nlp
edited Nov 29 '18 at 22:21
halfer
14.6k758113
asked Nov 22 '18 at 10:49
user3243499user3243499
81411226
edited Nov 29 '18 at 22:21
halfer
14.6k758113
asked Nov 22 '18 at 10:49
user3243499user3243499
81411226
edited Nov 29 '18 at 22:21
halfer
14.6k758113
edited Nov 29 '18 at 22:21
halfer
14.6k758113
edited Nov 29 '18 at 22:21
halfer
14.6k758113
14.6k758113
asked Nov 22 '18 at 10:49
user3243499user3243499
81411226
asked Nov 22 '18 at 10:49
user3243499user3243499
81411226
asked Nov 22 '18 at 10:49
user3243499user3243499
81411226
81411226
Isn't that configuration problem unrelated to Zeppelin? I'd guess that you use cluster, but default file system somehow resolves to a local one.
– user10465355
Nov 22 '18 at 20:31
add a comment |
Isn't that configuration problem unrelated to Zeppelin? I'd guess that you use cluster, but default file system somehow resolves to a local one.
– user10465355
Nov 22 '18 at 20:31
Isn't that configuration problem unrelated to Zeppelin? I'd guess that you use cluster, but default file system somehow resolves to a local one.
– user10465355
Nov 22 '18 at 20:31
Isn't that configuration problem unrelated to Zeppelin? I'd guess that you use cluster, but default file system somehow resolves to a local one.
– user10465355
Nov 22 '18 at 20:31
add a comment |
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Isn't that configuration problem unrelated to Zeppelin? I'd guess that you use cluster, but default file system somehow resolves to a local one.
– user10465355
Nov 22 '18 at 20:31