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Submission GuidelinesHello,
After used the new "Image Recognition Tool" a few days, I think you could improve it :
> by adding the dimensional constraints in front of each of the pre-trained models,
> by adding a true tool to divide the training data correctly (in order to have an equivalent number of images for each of the labels)
> at least, allow the tool to use black & white images (I wanted to test it on the MNIST, but the tool tells me that it necessarily needs RGB images) ?
Question : do you in the future allow the user to choose between CPU or GPU usage ?
In any case, thank you again for this new tool, it is certainly perfectible, but very simple to use, and I sincerely think that it will allow a greater number of people to understand the many use cases made possible thanks to image recognition.
Thank you again
Kévin VANCAPPEL (France ;-))
Thank you again.
Kévin VANCAPPEL
Below is a list of DBMS rankings as of August 2016
(for an updated and longer list see: http://db-engines.com/en/ranking)
I personally look for; HBase, Splunk, MariaDB, Couchbase, Amazon Dynamo, CouchDB connections...
Rank | DBMS | Database Model | Alteryx | ||
Aug | Jul | Aug | |||
2016 | 2016 | 2015 | |||
1. | 1 | 1 | Oracle | Relational DBMS | Yes |
2. | 2 | 2 | MySQL | Relational DBMS | Yes |
3. | 3 | 3 | Microsoft SQL Server | Relational DBMS | Yes |
4. | 4 | 4 | MongoDB | Document store | Yes |
5. | 5 | 5 | PostgreSQL | Relational DBMS | Yes |
6. | 6 | 6 | DB2 | Relational DBMS | Yes |
7. | 7 | 8 | Cassandra | Wide column store | Yes |
8. | 8 | 7 | Microsoft Access | Relational DBMS | Yes |
9. | 9 | 9 | SQLite | Relational DBMS | Yes |
10. | 10 | 10 | Redis | Key-value store | No |
11. | 11 | 14 | Elasticsearch | Search engine | No |
12. | 12 | 13 | Teradata | Relational DBMS | Yes |
13. | 13 | 11 | SAP Adaptive Server | Relational DBMS | Yes |
14. | 14 | 12 | Solr | Search engine | No |
15. | 15 | 15 | HBase | Wide column store | No |
16. | 16 | 17 | FileMaker | Relational DBMS | No |
17. | 18 | 18 | Splunk | Search engine | No |
18. | 17 | 16 | Hive | Relational DBMS | Yes |
19. | 19 | 19 | SAP HANA | Relational DBMS | Yes |
20. | 20 | 25 | MariaDB | Relational DBMS | No |
21. | 21 | 22 | Neo4j | Graph DBMS | No |
22. | 22 | 20 | Informix | Relational DBMS | No |
23. | 23 | 21 | Memcached | Key-value store | No |
24. | 24 | 24 | Couchbase | Document store | No |
25. | 25 | 28 | Amazon DynamoDB | Document store | No |
26. | 26 | 23 | CouchDB | Document store | No |
27. | 27 | 30 | Vertica | Relational DBMS | Yes |
28. | 28 | 29 | Microsoft Azure SQL Database | Relational DBMS | Yes |
29. | 29 | 27 | Netezza | Relational DBMS | Yes |
30. | 30 | 26 | Firebird | Relational DBMS | No |
31. | 31 | 31 | Riak KV | Key-value store | No |
32. | 33 | 40 | Amazon Redshift | Relational DBMS | Yes |
33. | 32 | 32 | MarkLogic | Multi-model | No |
34. | 34 | 34 | dBASE | Relational DBMS | Yes |
35. | 35 | 35 | Greenplum | Relational DBMS | Yes |
36. | 36 | 33 | Ingres | Relational DBMS | No |
37. | 37 | 39 | Impala | Relational DBMS | Yes |
38. | 38 | 36 | Sphinx | Search engine | No |
39. | 39 | 43 | Hazelcast | Key-value store | No |
40. | 40 | 38 | Ehcache | Key-value store | No |
41. | 41 | 51 | Google BigQuery | Relational DBMS | Yes |
42. | 43 | 50 | OrientDB | Multi-model | No |
43. | 42 | 41 | Interbase | Relational DBMS | No |
44. | 45 | 45 | Spark SQL | Relational DBMS | No |
45. | 44 | 55 | Titan | Graph DBMS | No |
46. | 46 | 68 | RethinkDB | Document store | No |
47. | 50 | 81 | InfluxDB | Time Series DBMS | No |
48. | 47 | 69 | Aerospike | Key-value store | No |
49. | 49 | 47 | Cloudant | Document store | No |
On the output data component, when outputting to a database, there are Pre & Post Create SQL statement switches. This allows for the execution of a SQL statement in the DB but only after a create table action. To use this functionality you must have populated a table using the 'create new table' or 'overwrite' option, which is no good if you're using the Update or Append options. Change these switches to Pre & Post SQL Statements as per the Input Data component. This will allow you to execute SQL statements in the DB either before or after the population action. Can be really handy if you need to execute database stored procedures for example.
Please note: You can already work around this by branching from your data stream and creating or overwriting a dummy table, then use the pre or post create switch for your SQL statement. This is a bit messy and can leave dummy tables in the DB, which is a bit scruffy.
When outputting to files in avro format, it would be nice to have Alteryx either throw an error/warning or automatically add a prefix when field names do not conform to the Apache Avro specifications. For example, if I were to try to output an .avro file with a field named "2018 actions", Alteryx could throw a warning/error to remind me to rename the field, or Alteryx could change the field name for me to something like "X2018_Actions".
Add extra capabilities int he Output Tool so that the following can be accomplished without the need for using Post SQL processing:
- Create a new SQL View
- Assign a Unique Index key to a table
Having these capabilities directly available in the tools would greatly increase the usability and reduce the workload required to build routines and databases.
Is it possible to get a monthly subscription service to spread out the cost - perhaps to make it more beneficial your end we could have a 6 month minimum contract?
With some consulting projects you'd only really be able to bill the pro rata cost so that would help.
We are limited to vertical and horizontal flow charts.
Being able to move the green entrance and exit nodes to vertical or horizontal positioning in the same chart would aid creating more efficient flow layouts.
The developers should check out Factorio too. Quite a few idea in there on flow charting.
EG:
At the moment the salesforce connector does not support view objects like AccountUserTerritory2View. It should be extended to support those objects to facilitate more efficient and above all complete data extraction.
I want to connect to Salesforce without Security Token.
Salesforce doesn't need Security Token when we set Login IP Ranges.
Actual Condition:
Thank you for considering our request.
I will be using TS Model Factory tool for running ARIMA quite extensivelty and understand that existing tool does not allow for model customization options. I will really appreciate if we can have customization options which helps to specify order of AR or MA components like it can be done in ARIMA tool.
Thanks!
Sort by file size based on first digit in file size (should be based on all digits).
I setup a generic template because the excel files do not have a consistent schema. This is the template
which is interpreted as text
When I feed files into the dynamic input tool the output configuration is
This is the schema of the first file read by the DI tool. Why didn't it use the template?
The requirement to have all the schemas match is difficult - especially with excel.
I would like to suggest the input tool have a checkbox to override the data driver and interpret all columns as text.
https://www.connectionstrings.com/ace-oledb-12-0/treating-data-as-text/
It would be cool if, in the API, we could get at all data fields for the relevant dataset, without having to manually list them in the Expression builder area. Example: if we had a formula function called "AllFields()" that returns all fields. Then, supposing we had a huge data set with hundreds of fields, we could do something like Average(AllFields()) in order to average all of the fields without listing them individually.
And I know, the multi-field formula is there also, but it would still be handy to have this, especially in conjunction with the API, where I'd like to be able to write methods that cruise all data fields to do this or that. Thanks!
It would be nice to be able to search "Variables", "Functions", "Saved Expressions" within the expression boxes of tool configurations, instead of having to fiddle with the hierarchical tree structure all the time!
It would be great if it were possible in future to adjustment Analytic App buttons.
For example Run instead of Finish or so... and so on!?!
Best regards
Mathias
While manually entering expresssions in tools say for example Formula tool, if an error occurs, apart from the error definition displayed below, there must be auto correct options available depending upon alteryx interpretation. It must provide suggestions to rectify the error in the expression.
Such functionality is present in other softwares and it would be great if alteryx add this too.
In trying to work with varying content and rules for extracting information, the regex tool requires a literal string.
The functions can accept a workflow parameter but I needed to parse out the results.
For now, I have only a few patterns but looking to handle a more general case. Thanks
It would be nice to have the expression box (found in formula tools etc.) and the join selection (found on joins etc.) as interface tools.
The new 10.6 leaves all this empty space to the right of the "Connect" field and "Options"/"Preview" fields. This means I have to drag out my tab way farther than I used to in order to see the same amount of information... Can you go back to having these fields stretch all the way to the right of the frame? When you have huge workflows, every little bit of space really matters.
Look at all that empty space!
I would love the to get back the ability to use WHERE clauses in the custom SQL to manage the data that gets imported from xlsx files. I can currently use the legacy driver but would like to have that added in for the current driver.
The file geodatabase reader is very cumbersome especially when navigating through a server directory. Can this be fixed or reworked?
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